From d3cc431766623c4e73e9516ddcf0e450a22e2143 Mon Sep 17 00:00:00 2001
From: nehajo88 <nehajo88@gmail.com>
Date: Sun, 12 Nov 2023 15:39:08 -0800
Subject: [PATCH] Classifying the world into IPCC Table 4.7
---
.../IPCC_GEDI_Table4.7-checkpoint.ipynb | 73 +-
.../IPCC_GEDI_Table4.7-checkpoint.py | 9 +-
...CC_raster_post_processing-checkpoint.ipynb | 2908 +++++++++--------
.../IPCC_classes_DPS/IPCC_GEDI_Table4.7.ipynb | 229 +-
.../IPCC_classes_DPS/IPCC_GEDI_Table4.7.py | 2 +-
.../IPCC_raster_post_processing.ipynb | 2351 ++++++-------
.../Vector/Vector_biomass_in_IPCC.ipynb | 547 +---
7 files changed, 2792 insertions(+), 3327 deletions(-)
diff --git a/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.ipynb b/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.ipynb
index 181f108..89a7a65 100644
--- a/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.ipynb
+++ b/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.ipynb
@@ -214,7 +214,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 7,
"id": "2d3bc6fe-b0b5-4084-9c20-53d2e3d0343b",
"metadata": {
"tags": []
@@ -265,6 +265,7 @@
"import subprocess\n",
"import glob\n",
"import shutil\n",
+ "import time\n",
"\n",
"from maap.maap import MAAP\n",
"# maap=MAAP(maap_host=\"api.ops.maap-project.org\") \n",
@@ -332,7 +333,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"id": "82dba01f-ac52-4ded-a0ae-bbd06d12f241",
"metadata": {
"tags": []
@@ -341,10 +342,10 @@
{
"data": {
"text/plain": [
- "'{\"code\": 200, \"message\": {\"id\": \"f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\", \"short_id\": \"f28ee28e\", \"created_at\": \"2023-11-12T13:30:56.000+00:00\", \"parent_ids\": [\"4c940b2eab5927c1223ef3840711d5af748c12ec\"], \"title\": \"Registering algorithm: run_IPCC_classes_ADE\", \"message\": \"Registering algorithm: run_IPCC_classes_ADE\", \"author_name\": \"root\", \"author_email\": \"root@14e16c2322e1\", \"authored_date\": \"2023-11-12T13:30:56.000+00:00\", \"committer_name\": \"root\", \"committer_email\": \"root@14e16c2322e1\", \"committed_date\": \"2023-11-12T13:30:56.000+00:00\", \"trailers\": {}, \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/commit/f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\", \"stats\": {\"additions\": 0, \"deletions\": 0, \"total\": 0}, \"status\": \"pending\", \"project_id\": 3, \"last_pipeline\": {\"id\": 9612, \"iid\": 497, \"project_id\": 3, \"sha\": \"f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\", \"ref\": \"main\", \"status\": \"pending\", \"source\": \"push\", \"created_at\": \"2023-11-12T13:30:57.804Z\", \"updated_at\": \"2023-11-12T13:30:58.198Z\", \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/pipelines/9612\"}, \"job_web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9863\", \"job_log_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9863/raw\"}}\\n'"
+ "'{\"code\": 200, \"message\": {\"id\": \"a19a8ee0f8c161c03da41a9f644071ac4f287c38\", \"short_id\": \"a19a8ee0\", \"created_at\": \"2023-11-12T13:42:12.000+00:00\", \"parent_ids\": [\"f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\"], \"title\": \"Registering algorithm: run_IPCC_classes_ADE\", \"message\": \"Registering algorithm: run_IPCC_classes_ADE\", \"author_name\": \"root\", \"author_email\": \"root@14e16c2322e1\", \"authored_date\": \"2023-11-12T13:42:12.000+00:00\", \"committer_name\": \"root\", \"committer_email\": \"root@14e16c2322e1\", \"committed_date\": \"2023-11-12T13:42:12.000+00:00\", \"trailers\": {}, \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/commit/a19a8ee0f8c161c03da41a9f644071ac4f287c38\", \"stats\": {\"additions\": 0, \"deletions\": 0, \"total\": 0}, \"status\": \"running\", \"project_id\": 3, \"last_pipeline\": {\"id\": 9613, \"iid\": 498, \"project_id\": 3, \"sha\": \"a19a8ee0f8c161c03da41a9f644071ac4f287c38\", \"ref\": \"main\", \"status\": \"running\", \"source\": \"push\", \"created_at\": \"2023-11-12T13:42:12.956Z\", \"updated_at\": \"2023-11-12T13:42:13.588Z\", \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/pipelines/9613\"}, \"job_web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9864\", \"job_log_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9864/raw\"}}\\n'"
]
},
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -364,7 +365,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 20,
"id": "f108f96f-3601-4d23-a159-108287110eb2",
"metadata": {
"tags": []
@@ -374,20 +375,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "submitting 10S_060W\n",
- "ae7d1182-b95a-4370-b725-1dab61998c2e\n",
- "submitting 10S_050W\n",
- "ae779402-a2c1-45e7-93ca-36eb62dc60a6\n",
- "submitting 10S_070W\n",
- "dfcdc96f-80fc-4cf5-b29e-c41ce6fd1e69\n"
+ "submitting 10N_120E\n",
+ "81968e86-2f02-4396-8448-5201a310598b\n"
]
}
],
"source": [
- "Desired_output_folder = '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/'\n",
+ "Desired_output_folder = '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/IPCC_classes'\n",
"if not os.path.exists(Desired_output_folder):\n",
" os.mkdir(Desired_output_folder)\n",
- "TILES = [\"00N_000E\",\"00N_010E\",\"00N_020E\",\"00N_030E\",\"00N_040E\",\"00N_040W\",\"00N_050E\",\"00N_050W\",\"00N_060W\",\"00N_070E\",\"00N_070W\",\"00N_080W\",\"00N_090E\",\"00N_090W\",\"00N_100E\",\"00N_100W\",\"00N_110E\",\"00N_120E\",\"00N_130E\",\"00N_140E\",\"00N_150E\",\"00N_160E\",\"00N_170E\",\"10N_000E\",\"10N_010E\",\"10N_010W\",\"10N_020E\",\"10N_020W\",\"10N_030E\",\"10N_040E\",\"10N_050E\",\"10N_050W\",\"10N_060W\",\"10N_070E\",\"10N_070W\",\"10N_080E\",\"10N_080W\",\"10N_090E\",\"10N_090W\",\"10N_100E\",\"10N_100W\",\"10N_110E\",\"10N_120E\",\"10N_130E\",\"10N_150E\",\"10N_160E\",\"10N_170E\",\"10S_010E\",\"10S_020E\",\"10S_030E\",\"10S_040E\",\"10S_040W\",\"10S_050E\",\"10S_050W\",\"10S_060W\",\"10S_070W\",\"10S_080W\",\"10S_110E\",\"10S_120E\",\"10S_130E\",\"10S_140E\",\"10S_150E\",\"10S_160E\",\"10S_170E\",\"10S_180W\",\"20N_000E\",\"20N_010E\",\"20N_010W\",\"20N_020E\",\"20N_020W\",\"20N_030E\",\"20N_030W\",\"20N_040E\",\"20N_050E\",\"20N_060W\",\"20N_070E\",\"20N_070W\",\"20N_080E\",\"20N_080W\",\"20N_090E\",\"20N_090W\",\"20N_100E\",\"20N_100W\",\"20N_110E\",\"20N_110W\",\"20N_120E\",\"20N_120W\",\"20N_160W\",\"20S_010E\",\"20S_020E\",\"20S_030E\",\"20S_040E\",\"20S_050E\",\"20S_050W\",\"20S_060W\",\"20S_070W\",\"20S_080W\",\"20S_110E\",\"20S_120E\",\"20S_130E\",\"20S_140E\",\"20S_150E\",\"20S_160E\",\"20S_180W\",\"30N_000E\",\"30N_010E\",\"30N_010W\",\"30N_020E\",\"30N_020W\",\"30N_030E\",\"30N_040E\",\"30N_050E\",\"30N_060E\",\"30N_070E\",\"30N_080E\",\"30N_080W\",\"30N_090E\",\"30N_090W\",\"30N_100E\",\"30N_100W\",\"30N_110E\",\"30N_110W\",\"30N_120E\",\"30N_120W\",\"30N_130E\",\"30N_160W\",\"30N_170W\",\"30S_010E\",\"30S_020E\",\"30S_030E\",\"30S_060W\",\"30S_070W\",\"30S_080W\",\"30S_110E\",\"30S_120E\",\"30S_130E\",\"30S_140E\",\"30S_150E\",\"30S_170E\",\"40N_000E\",\"40N_010E\",\"40N_010W\",\"40N_020E\",\"40N_020W\",\"40N_030E\",\"40N_040E\",\"40N_050E\",\"40N_060E\",\"40N_070E\",\"40N_070W\",\"40N_080E\",\"40N_080W\",\"40N_090E\",\"40N_090W\",\"40N_100E\",\"40N_100W\",\"40N_110E\",\"40N_110W\",\"40N_120E\",\"40N_120W\",\"40N_130E\",\"40N_130W\",\"40N_140E\",\"40S_070W\",\"40S_080W\",\"40S_140E\",\"40S_160E\",\"40S_170E\",\"50N_000E\",\"50N_010E\",\"50N_010W\",\"50N_020E\",\"50N_030E\",\"50N_040E\",\"50N_050E\",\"50N_060E\",\"50N_060W\",\"50N_070E\",\"50N_070W\",\"50N_080E\",\"50N_080W\",\"50N_090E\",\"50N_090W\",\"50N_100E\",\"50N_100W\",\"50N_110E\",\"50N_110W\",\"50N_120E\",\"50N_120W\",\"50N_130E\",\"50N_130W\",\"50N_140E\",\"50N_150E\",\"50S_060W\",\"50S_070W\",\"50S_080W\",\"60N_000E\",\"60N_010E\",\"60N_010W\",\"60N_020E\",\"60N_020W\",\"60N_030E\",\"60N_040E\",\"60N_050E\",\"60N_060E\",\"60N_060W\",\"60N_070E\",\"60N_070W\",\"60N_080E\",\"60N_080W\",\"60N_090E\",\"60N_090W\",\"60N_100E\",\"60N_100W\",\"60N_110E\",\"60N_110W\",\"60N_120E\",\"60N_120W\",\"60N_130E\",\"60N_130W\",\"60N_140E\",\"60N_140W\",\"60N_150E\",\"60N_150W\",\"60N_160E\",\"60N_160W\",\"60N_170E\",\"60N_170W\",\"60N_180W\",\"70N_000E\",\"70N_010E\",\"70N_020E\",\"70N_030E\",\"70N_040E\",\"70N_050E\",\"70N_060E\",\"70N_070E\",\"70N_070W\",\"70N_080E\",\"70N_080W\",\"70N_090E\",\"70N_090W\",\"70N_100E\",\"70N_100W\",\"70N_110E\",\"70N_110W\",\"70N_120E\",\"70N_120W\",\"70N_130E\",\"70N_130W\",\"70N_140E\",\"70N_140W\",\"70N_150E\",\"70N_150W\",\"70N_160E\",\"70N_160W\",\"70N_170E\",\"70N_170W\",\"80N_010E\",\"80N_020E\",\"80N_030E\",\"80N_070E\",\"80N_080E\",\"80N_090E\",\"80N_100E\",\"80N_110E\",\"80N_120E\",\"80N_130E\",\"80N_130W\",\"80N_140E\",\"80N_140W\",\"80N_150E\",\"80N_150W\",\"80N_160E\",\"80N_160W\",\"80N_170W\"]\n",
+ "TILES = [\"00N_000E\",\"00N_010E\",\"00N_020E\",\"00N_030E\",\"00N_040E\",\"00N_040W\",\"00N_050W\",\"00N_060W\",\"00N_070W\",\"00N_080W\",\"00N_090E\",\"00N_090W\",\"00N_100E\",\"00N_110E\",\"00N_120E\",\"00N_130E\",\"00N_140E\",\"00N_150E\",\"00N_160E\",\"10N_000E\",\"10N_010E\",\"10N_010W\",\"10N_020E\",\"10N_020W\",\"10N_030E\",\"10N_040E\",\"10N_050E\",\"10N_050W\",\"10N_060W\",\"10N_070E\",\"10N_070W\",\"10N_080E\",\"10N_080W\",\"10N_090E\",\"10N_090W\",\"10N_100E\",\"10N_110E\",\"10N_120E\",\"10N_130E\",\"10S_010E\",\"10S_020E\",\"10S_030E\",\"10S_040E\",\"10S_040W\",\"10S_050E\",\"10S_050W\",\"10S_060W\",\"10S_070W\",\"10S_080W\",\"10S_110E\",\"10S_120E\",\"10S_130E\",\"10S_140E\",\"10S_150E\",\"10S_160E\",\"10S_170E\",\"20N_000E\",\"20N_010E\",\"20N_010W\",\"20N_020E\",\"20N_020W\",\"20N_030E\",\"20N_040E\",\"20N_050E\",\"20N_060W\",\"20N_070E\",\"20N_070W\",\"20N_080E\",\"20N_080W\",\"20N_090E\",\"20N_090W\",\"20N_100E\",\"20N_100W\",\"20N_110E\",\"20N_110W\",\"20N_120E\",\"20N_160W\",\"20S_010E\",\"20S_020E\",\"20S_030E\",\"20S_040E\",\"20S_050W\",\"20S_060W\",\"20S_070W\",\"20S_080W\",\"20S_110E\",\"20S_120E\",\"20S_130E\",\"20S_140E\",\"20S_150E\",\"20S_160E\",\"30N_000E\",\"30N_010E\",\"30N_010W\",\"30N_020E\",\"30N_020W\",\"30N_030E\",\"30N_040E\",\"30N_050E\",\"30N_060E\",\"30N_070E\",\"30N_080E\",\"30N_080W\",\"30N_090E\",\"30N_090W\",\"30N_100E\",\"30N_100W\",\"30N_110E\",\"30N_110W\",\"30N_120E\",\"30N_120W\",\"30N_130E\",\"30N_160W\",\"30N_170W\",\"30S_010E\",\"30S_020E\",\"30S_030E\",\"30S_060W\",\"30S_070W\",\"30S_080W\",\"30S_110E\",\"30S_120E\",\"30S_130E\",\"30S_140E\",\"30S_150E\",\"30S_170E\",\"40N_000E\",\"40N_010E\",\"40N_010W\",\"40N_020E\",\"40N_020W\",\"40N_030E\",\"40N_040E\",\"40N_050E\",\"40N_060E\",\"40N_070E\",\"40N_080E\",\"40N_080W\",\"40N_090E\",\"40N_090W\",\"40N_100E\",\"40N_100W\",\"40N_110E\",\"40N_110W\",\"40N_120E\",\"40N_120W\",\"40N_130E\",\"40N_130W\",\"40N_140E\",\"40S_070W\",\"40S_080W\",\"40S_140E\",\"40S_160E\",\"40S_170E\",\"50N_000E\",\"50N_010E\",\"50N_010W\",\"50N_020E\",\"50N_030E\",\"50N_040E\",\"50N_050E\",\"50N_060E\",\"50N_060W\",\"50N_070E\",\"50N_070W\",\"50N_080E\",\"50N_080W\",\"50N_090E\",\"50N_090W\",\"50N_100E\",\"50N_100W\",\"50N_110E\",\"50N_110W\",\"50N_120E\",\"50N_120W\",\"50N_130E\",\"50N_130W\",\"50N_140E\",\"50N_150E\",\"50S_070W\",\"50S_080W\",\"60N_000E\",\"60N_010E\",\"60N_010W\",\"60N_020E\",\"60N_020W\",\"60N_030E\",\"60N_040E\",\"60N_050E\",\"60N_060E\",\"60N_060W\",\"60N_070E\",\"60N_070W\",\"60N_080E\",\"60N_080W\",\"60N_090E\",\"60N_090W\",\"60N_100E\",\"60N_100W\",\"60N_110E\",\"60N_110W\",\"60N_120E\",\"60N_120W\",\"60N_130E\",\"60N_130W\",\"60N_140E\",\"60N_140W\",\"60N_150E\",\"60N_150W\",\"60N_160E\",\"60N_160W\",\"60N_170E\",\"60N_170W\",\"60N_180W\",\"70N_000E\",\"70N_010E\",\"70N_020E\",\"70N_030E\",\"70N_040E\",\"70N_050E\",\"70N_060E\",\"70N_070E\",\"70N_070W\",\"70N_080E\",\"70N_080W\",\"70N_090E\",\"70N_090W\",\"70N_100E\",\"70N_100W\",\"70N_110E\",\"70N_110W\",\"70N_120E\",\"70N_120W\",\"70N_130E\",\"70N_130W\",\"70N_140E\",\"70N_140W\",\"70N_150E\",\"70N_150W\",\"70N_160E\",\"70N_160W\",\"70N_170E\",\"70N_170W\",\"80N_010E\",\"80N_020E\",\"80N_030E\",\"80N_070E\",\"80N_080E\",\"80N_090E\",\"80N_100E\",\"80N_110E\",\"80N_120E\",\"80N_130E\",\"80N_130W\",\"80N_140E\",\"80N_140W\",\"80N_150E\",\"80N_150W\",\"80N_160E\",\"80N_160W\",\"80N_170W\"]\n",
"\n",
"i = 0\n",
"count = -1\n",
@@ -397,6 +394,7 @@
"\n",
"for TILE in TILES: \n",
" if not os.path.exists(os.path.join(Desired_output_folder,TILE + \"_IPCC_classes.tif\")): \n",
+ " time.sleep(15)\n",
" print(\"submitting \" + TILE)\n",
" count +=1\n",
" submit_result = maap.submitJob(identifier=\"IPCC_classes_ADE\", \n",
@@ -436,7 +434,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 21,
"id": "powered-tutorial",
"metadata": {
"tags": []
@@ -447,33 +445,9 @@
"output_type": "stream",
"text": [
"Moving files...\n",
- "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/05/20/367134/30S_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/15/763050/20S_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/31/622199/00N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/07/14/919045/30S_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/08/00/237491/20N_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/10/07/492400/10N_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/12/34/688362/40N_050E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/16/30/919488/10S_120E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/27/619707/10N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/54/853651/40N_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/20/32/877816/00N_040W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/21/21/324573/30S_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/24/19/323814/00N_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/26/10/286997/20S_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/27/22/931193/20N_010W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/28/19/926391/40N_010W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/29/50/608409/40N_120W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/30/33/337550/30S_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/532329/20S_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/941488/30N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/11/750928/20N_070E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/37/253103/30S_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/33/12/909140/10S_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/36/751966/70N_070E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/46/560224/60N_140W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/56/641981/40N_110W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/22/234667/10N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/36/527951/60N_070E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/42/771597/60N_000E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/46/436789/20N_020W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/58/055939/70N_150W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/47/116340/70N_130W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/49/118411/40S_170E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/03/357399/10N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/04/438809/20S_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/05/709133/10S_040E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/26/719810/00N_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/27/731608/70N_060E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/42/834958/10S_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/455296/00N_120E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/893244/50N_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/07/233756/20S_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/17/874136/60N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/24/120470/60N_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/49/102093/40N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/13/969520/10S_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/32/323082/20S_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/44/228128/60N_050E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/59/740786/30N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/07/859776/50N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/16/669082/60N_020E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/773282/60N_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/39/461510/50N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/47/841622/20N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/56/383866/70N_040E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/00/848295/40N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/04/674172/00N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/09/925692/00N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/27/815482/10S_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/58/573190/70N_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/03/593399/60N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/11/293073/60N_110W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/28/002974/70N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/36/434559/20N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/40/892616/70N_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/44/908943/70N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/46/583267/20N_090W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/15/683764/70N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/28/599472/00N_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/41/088857/70N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/48/142073/00N_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/10/543607/60N_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/12/912349/00N_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/17/425895/10N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/58/266916/30N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/01/915588/10N_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/03/937291/40N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/16/898323/60N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/28/288301/60N_120E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/33/066675/20S_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/49/655546/20N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/55/750103/00N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/01/275866/10N_010W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/08/837055/60N_130W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/10/381060/50N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/12/029251/10S_020E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/30/566995/10N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/48/867025/00N_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/083931/10S_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/219773/10S_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/03/259272/10N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/11/128533/00N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/18/038705/10S_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/19/376110/00N_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/27/776675/40N_090W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/214486/10N_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/486795/10N_020E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/54/03/557304/30N_100E_Age_classes.tif']\n",
+ "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE_v2/IPCC_classes_ADE/2023/11/12/10/11/11/290933/10N_120E_Age_classes.tif']\n",
"Moving files...\n",
- "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/05/20/367134/30S_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/15/763050/20S_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/31/622199/00N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/07/14/919045/30S_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/08/00/237491/20N_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/10/07/492400/10N_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/12/34/688362/40N_050E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/16/30/919488/10S_120E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/27/619707/10N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/54/853651/40N_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/20/32/877816/00N_040W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/21/21/324573/30S_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/24/19/323814/00N_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/26/10/286997/20S_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/27/22/931193/20N_010W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/28/19/926391/40N_010W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/29/50/608409/40N_120W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/30/33/337550/30S_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/532329/20S_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/941488/30N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/11/750928/20N_070E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/37/253103/30S_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/33/12/909140/10S_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/36/751966/70N_070E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/46/560224/60N_140W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/56/641981/40N_110W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/22/234667/10N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/36/527951/60N_070E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/42/771597/60N_000E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/46/436789/20N_020W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/58/055939/70N_150W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/47/116340/70N_130W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/49/118411/40S_170E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/03/357399/10N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/04/438809/20S_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/05/709133/10S_040E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/26/719810/00N_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/27/731608/70N_060E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/42/834958/10S_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/455296/00N_120E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/893244/50N_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/07/233756/20S_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/17/874136/60N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/24/120470/60N_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/49/102093/40N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/13/969520/10S_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/32/323082/20S_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/44/228128/60N_050E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/59/740786/30N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/07/859776/50N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/16/669082/60N_020E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/773282/60N_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/39/461510/50N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/47/841622/20N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/56/383866/70N_040E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/00/848295/40N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/04/674172/00N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/09/925692/00N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/27/815482/10S_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/58/573190/70N_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/03/593399/60N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/11/293073/60N_110W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/28/002974/70N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/36/434559/20N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/40/892616/70N_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/44/908943/70N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/46/583267/20N_090W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/15/683764/70N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/28/599472/00N_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/41/088857/70N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/48/142073/00N_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/10/543607/60N_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/12/912349/00N_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/17/425895/10N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/58/266916/30N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/01/915588/10N_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/03/937291/40N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/16/898323/60N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/28/288301/60N_120E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/33/066675/20S_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/49/655546/20N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/55/750103/00N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/01/275866/10N_010W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/08/837055/60N_130W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/10/381060/50N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/12/029251/10S_020E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/30/566995/10N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/48/867025/00N_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/083931/10S_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/219773/10S_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/03/259272/10N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/11/128533/00N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/18/038705/10S_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/19/376110/00N_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/27/776675/40N_090W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/214486/10N_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/486795/10N_020E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/54/03/557304/30N_100E_IPCC_classes.tif']\n"
- ]
- },
- {
- "ename": "OSError",
- "evalue": "[Errno 107] Transport endpoint is not connected",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:816\u001b[0m, in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m 815\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 816\u001b[0m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrename\u001b[49m\u001b[43m(\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreal_dst\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 817\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m:\n",
- "\u001b[0;31mOSError\u001b[0m: [Errno 18] Invalid cross-device link: '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_IPCC_classes.tif' -> '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_COG/IPCC_classes/50N_120W_IPCC_classes.tif'",
- "\nDuring handling of the above exception, another exception occurred:\n",
- "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:267\u001b[0m, in \u001b[0;36mcopyfile\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m 266\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 267\u001b[0m \u001b[43m_fastcopy_sendfile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfsrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfdst\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 268\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m dst\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:162\u001b[0m, in \u001b[0;36m_fastcopy_sendfile\u001b[0;34m(fsrc, fdst)\u001b[0m\n\u001b[1;32m 160\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m _GiveupOnFastCopy(err)\n\u001b[0;32m--> 162\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:142\u001b[0m, in \u001b[0;36m_fastcopy_sendfile\u001b[0;34m(fsrc, fdst)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m sent \u001b[38;5;241m=\u001b[39m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msendfile\u001b[49m\u001b[43m(\u001b[49m\u001b[43moutfd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minfd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moffset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mblocksize\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;66;03m# ...in oder to have a more informative exception.\u001b[39;00m\n",
- "\u001b[0;31mOSError\u001b[0m: [Errno 107] Transport endpoint is not connected: '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_IPCC_classes.tif' -> '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_COG/IPCC_classes/50N_120W_IPCC_classes.tif'",
- "\nDuring handling of the above exception, another exception occurred:\n",
- "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[6], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m each_file \u001b[38;5;129;01min\u001b[39;00m SUMMARY_files_tifs:\n\u001b[1;32m 19\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mexists(each_file) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mexists(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(Desired_output_folder,os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mbasename(each_file))): \n\u001b[0;32m---> 20\u001b[0m \u001b[43mshutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmove\u001b[49m\u001b[43m(\u001b[49m\u001b[43meach_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mDesired_output_folder\u001b[49m\u001b[43m)\u001b[49m\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:836\u001b[0m, in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m 834\u001b[0m rmtree(src)\n\u001b[1;32m 835\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 836\u001b[0m \u001b[43mcopy_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreal_dst\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 837\u001b[0m os\u001b[38;5;241m.\u001b[39munlink(src)\n\u001b[1;32m 838\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m real_dst\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:434\u001b[0m, in \u001b[0;36mcopy2\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m 432\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39misdir(dst):\n\u001b[1;32m 433\u001b[0m dst \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(dst, os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mbasename(src))\n\u001b[0;32m--> 434\u001b[0m \u001b[43mcopyfile\u001b[49m\u001b[43m(\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdst\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfollow_symlinks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_symlinks\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 435\u001b[0m copystat(src, dst, follow_symlinks\u001b[38;5;241m=\u001b[39mfollow_symlinks)\n\u001b[1;32m 436\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m dst\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:254\u001b[0m, in \u001b[0;36mcopyfile\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m 252\u001b[0m os\u001b[38;5;241m.\u001b[39msymlink(os\u001b[38;5;241m.\u001b[39mreadlink(src), dst)\n\u001b[1;32m 253\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 254\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(src, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m fsrc:\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 256\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(dst, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwb\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m fdst:\n\u001b[1;32m 257\u001b[0m \u001b[38;5;66;03m# macOS\u001b[39;00m\n",
- "\u001b[0;31mOSError\u001b[0m: [Errno 107] Transport endpoint is not connected"
+ "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE_v2/IPCC_classes_ADE/2023/11/12/10/11/11/290933/10N_120E_IPCC_classes.tif']\n"
]
}
],
@@ -500,6 +474,25 @@
" shutil.move(each_file, Desired_output_folder)"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "dad17a0f-6916-47b6-b81c-4b1aeea0d24d",
+ "metadata": {},
+ "source": [
+ "### ZIP TO SHARE"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "281e5abc-61f7-4b6a-9780-66bbfe1e392e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "zip -0 /projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/IPCC_classes_v6_COG.zip *IPCC*\n",
+ "zip -0 /projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/Age_classes_v6_COG.zip *Age*"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
diff --git a/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.py b/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.py
index bbc24b7..97fda86 100644
--- a/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.py
+++ b/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_GEDI_Table4.7-checkpoint.py
@@ -44,10 +44,6 @@ args = parse.parse_args()
TILE = args.tile
-kwargs = rasterio.open(args.EcoCont).meta
-kwargs.update(dtype=rasterio.uint16,count=1,compress='lzw')
-kwargs.update(driver='COG')
-
###################################################################################
###################################################################################
##### PRIMARY AND INTACT FOREST CONDITIONS - GIVEN VALUE 1 ########################
@@ -94,7 +90,6 @@ del(PLANTATIONS)
ESA_FOREST_COVER = rasterio.open(args.ESA_FOREST_COVER).read(1)
PRIMARY[ESA_FOREST_COVER == 0] = 0
del(ESA_FOREST_COVER)
-with rasterio.open('/projects/my-public-bucket/Data/Harris_et_al_PAPER/_TEST/P_10S_060W.tif', 'w', **kwargs) as dst: dst.write_band(1, PRIMARY.astype(rasterio.uint16))
# ###################################################################################
# ###################################################################################
@@ -134,7 +129,6 @@ del(ESA_FOREST_COVER)
##### PRIMARY AND INTACT FOREST CONDITIONS #####
YOUNG[PRIMARY > 0] = 0
-with rasterio.open('/projects/my-public-bucket/Data/Harris_et_al_PAPER/_TEST/Y_10S_060W.tif', 'w', **kwargs) as dst: dst.write_band(1, YOUNG.astype(rasterio.uint16))
###################################################################################
###################################################################################
@@ -178,7 +172,6 @@ del(ESA_FOREST_COVER)
##### PRIMARY AND INTACT FOREST CONDITIONS #####
OLD[PRIMARY > 0] = 0
OLD[YOUNG > 0] = 0
-with rasterio.open('/projects/my-public-bucket/Data/Harris_et_al_PAPER/_TEST/O_10S_060W.tif', 'w', **kwargs) as dst: dst.write_band(1, OLD.astype(rasterio.uint16))
###################################################################################
###################################################################################
@@ -190,7 +183,7 @@ MASK = PRIMARY + YOUNG + OLD
EcoCont = rasterio.open(args.EcoCont).read(1)
kwargs = rasterio.open(args.EcoCont).meta
kwargs.update(dtype=rasterio.uint16,count=1,compress='lzw')
-kwargs.update(driver='COG')
+# kwargs.update(driver='COG')
EcoCont = EcoCont + (MASK*100)
BASE = rasterio.open(args.EcoCont).read(1)
EcoCont[EcoCont == BASE] = 0
diff --git a/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_raster_post_processing-checkpoint.ipynb b/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_raster_post_processing-checkpoint.ipynb
index 5d73af5..9870379 100644
--- a/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_raster_post_processing-checkpoint.ipynb
+++ b/country_summaries/IPCC_classes_DPS/.ipynb_checkpoints/IPCC_raster_post_processing-checkpoint.ipynb
@@ -2,12 +2,212 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 133,
+ "execution_count": 1,
"id": "3a0d4259-6e15-4a77-8bea-879b3c3b9ed4",
"metadata": {
+ "collapsed": true,
+ "jupyter": {
+ "outputs_hidden": true
+ },
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Loading required package: viridis\n",
+ "\n",
+ "Loading required package: viridisLite\n",
+ "\n",
+ "Loading required package: tidyverse\n",
+ "\n",
+ "── \u001b[1mAttaching core tidyverse packages\u001b[22m ──────────────────────── tidyverse 2.0.0 ──\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mdplyr \u001b[39m 1.1.2 \u001b[32m✔\u001b[39m \u001b[34mreadr \u001b[39m 2.1.4\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mforcats \u001b[39m 1.0.0 \u001b[32m✔\u001b[39m \u001b[34mstringr \u001b[39m 1.5.0\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mggplot2 \u001b[39m 3.4.2 \u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 3.2.1\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mlubridate\u001b[39m 1.9.2 \u001b[32m✔\u001b[39m \u001b[34mtidyr \u001b[39m 1.3.0\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mpurrr \u001b[39m 1.0.1 \n",
+ "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m masks \u001b[34mstats\u001b[39m::lag()\n",
+ "\u001b[36mℹ\u001b[39m Use the conflicted package (\u001b[3m\u001b[34m<http://conflicted.r-lib.org/>\u001b[39m\u001b[23m) to force all conflicts to become errors\n",
+ "Loading required package: raster\n",
+ "\n",
+ "Loading required package: sp\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘raster’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:dplyr’:\n",
+ "\n",
+ " select\n",
+ "\n",
+ "\n",
+ "Loading required package: rgdal\n",
+ "\n",
+ "Please note that rgdal will be retired during 2023,\n",
+ "plan transition to sf/stars/terra functions using GDAL and PROJ\n",
+ "at your earliest convenience.\n",
+ "See https://r-spatial.org/r/2022/04/12/evolution.html and https://github.com/r-spatial/evolution\n",
+ "rgdal: version: 1.6-6, (SVN revision 1201)\n",
+ "Geospatial Data Abstraction Library extensions to R successfully loaded\n",
+ "Loaded GDAL runtime: GDAL 3.6.2, released 2023/01/02\n",
+ "Path to GDAL shared files: /opt/conda/share/gdal\n",
+ " GDAL does not use iconv for recoding strings.\n",
+ "GDAL binary built with GEOS: TRUE \n",
+ "Loaded PROJ runtime: Rel. 9.1.0, September 1st, 2022, [PJ_VERSION: 910]\n",
+ "Path to PROJ shared files: /projects/.local/share/proj:/opt/conda/share/proj\n",
+ "PROJ CDN enabled: FALSE\n",
+ "Linking to sp version:1.6-0\n",
+ "To mute warnings of possible GDAL/OSR exportToProj4() degradation,\n",
+ "use options(\"rgdal_show_exportToProj4_warnings\"=\"none\") before loading sp or rgdal.\n",
+ "\n",
+ "Loading required package: terra\n",
+ "\n",
+ "terra 1.7.29\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘terra’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:rgdal’:\n",
+ "\n",
+ " project\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:tidyr’:\n",
+ "\n",
+ " extract\n",
+ "\n",
+ "\n",
+ "Loading required package: rgeos\n",
+ "\n",
+ "rgeos version: 0.6-2, (SVN revision 693)\n",
+ " GEOS runtime version: 3.11.1-CAPI-1.17.1 \n",
+ " Please note that rgeos will be retired during 2023,\n",
+ "plan transition to sf functions using GEOS at your earliest convenience.\n",
+ " GEOS using OverlayNG\n",
+ " Linking to sp version: 1.6-0 \n",
+ " Polygon checking: TRUE \n",
+ "\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘rgeos’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:dplyr’:\n",
+ "\n",
+ " symdiff\n",
+ "\n",
+ "\n",
+ "Loading required package: geosphere\n",
+ "\n",
+ "Loading required package: RColorBrewer\n",
+ "\n",
+ "Loading required package: gdalUtils\n",
+ "\n",
+ "Loading required package: parallel\n",
+ "\n",
+ "Loading required package: snow\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘snow’\n",
+ "\n",
+ "\n",
+ "The following objects are masked from ‘package:parallel’:\n",
+ "\n",
+ " clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,\n",
+ " clusterExport, clusterMap, clusterSplit, makeCluster, parApply,\n",
+ " parCapply, parLapply, parRapply, parSapply, splitIndices,\n",
+ " stopCluster\n",
+ "\n",
+ "\n",
+ "Loading required package: maptools\n",
+ "\n",
+ "Please note that 'maptools' will be retired during October 2023,\n",
+ "plan transition at your earliest convenience (see\n",
+ "https://r-spatial.org/r/2023/05/15/evolution4.html and earlier blogs\n",
+ "for guidance);some functionality will be moved to 'sp'.\n",
+ " Checking rgeos availability: TRUE\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘maptools’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:sp’:\n",
+ "\n",
+ " sp2Mondrian\n",
+ "\n",
+ "\n",
+ "Loading required package: scales\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘scales’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:terra’:\n",
+ "\n",
+ " rescale\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:purrr’:\n",
+ "\n",
+ " discard\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:readr’:\n",
+ "\n",
+ " col_factor\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:viridis’:\n",
+ "\n",
+ " viridis_pal\n",
+ "\n",
+ "\n",
+ "Loading required package: sf\n",
+ "\n",
+ "Linking to GEOS 3.11.1, GDAL 3.6.2, PROJ 9.1.0; sf_use_s2() is TRUE\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘sf’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:gdalUtils’:\n",
+ "\n",
+ " gdal_rasterize\n",
+ "\n",
+ "\n",
+ "Loading required package: foreign\n",
+ "\n",
+ "Loading required package: aws.s3\n",
+ "\n",
+ "Loading required package: aws.ec2metadata\n",
+ "\n",
+ "Setting environment variable AWS_DEFAULT_REGION to 'us-west-2'\n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mscales\u001b[39m::\u001b[32mcol_factor()\u001b[39m masks \u001b[34mreadr\u001b[39m::col_factor()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mscales\u001b[39m::\u001b[32mdiscard()\u001b[39m masks \u001b[34mpurrr\u001b[39m::discard()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mterra\u001b[39m::\u001b[32mextract()\u001b[39m masks \u001b[34mraster\u001b[39m::extract(), \u001b[34mtidyr\u001b[39m::extract()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m masks \u001b[34mstats\u001b[39m::lag()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mraster\u001b[39m::\u001b[32mselect()\u001b[39m masks \u001b[34mdplyr\u001b[39m::select()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mrgeos\u001b[39m::\u001b[32msymdiff()\u001b[39m masks \u001b[34mdplyr\u001b[39m::symdiff()\n",
+ "\u001b[36mℹ\u001b[39m Use the conflicted package (\u001b[3m\u001b[34m<http://conflicted.r-lib.org/>\u001b[39m\u001b[23m) to force all conflicts to become errors"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"####### POST PROCESSING OF 30 m IPCC forest classes RASTERS ############\n",
"####### POST PROCESSING OF 30 m IPCC forest classes RASTERS ############\n",
@@ -25,12 +225,13 @@
" library(x, character.only = TRUE, quietly=TRUE)\n",
" library(geojsonio)\n",
" }\n",
- "})"
+ "})\n",
+ "tidyverse_conflicts(only = NULL)"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"id": "1c069e40-d8d4-4320-ae9e-0f99652a5a5b",
"metadata": {
"collapsed": true,
@@ -44,2386 +245,2243 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " [1] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_000E_IPCC_classes_1km.gpkg\"\n",
- " [2] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_010E_IPCC_classes_1km.gpkg\"\n",
- " [3] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_020E_IPCC_classes_1km.gpkg\"\n",
- " [4] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_030E_IPCC_classes_1km.gpkg\"\n",
- " [5] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040E_IPCC_classes_1km.gpkg\"\n",
- " [6] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040W_IPCC_classes_1km.gpkg\"\n",
- " [7] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_050W_IPCC_classes_1km.gpkg\"\n",
- " [8] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_060W_IPCC_classes_1km.gpkg\"\n",
- " [9] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_070W_IPCC_classes_1km.gpkg\"\n",
- " [10] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_080W_IPCC_classes_1km.gpkg\"\n",
- " [11] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090E_IPCC_classes_1km.gpkg\"\n",
- " [12] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090W_IPCC_classes_1km.gpkg\"\n",
- " [13] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_100E_IPCC_classes_1km.gpkg\"\n",
- " [14] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_110E_IPCC_classes_1km.gpkg\"\n",
- " [15] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_120E_IPCC_classes_1km.gpkg\"\n",
- " [16] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_130E_IPCC_classes_1km.gpkg\"\n",
- " [17] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_140E_IPCC_classes_1km.gpkg\"\n",
- " [18] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_150E_IPCC_classes_1km.gpkg\"\n",
- " [19] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_160E_IPCC_classes_1km.gpkg\"\n",
- " [20] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_000E_IPCC_classes_1km.gpkg\"\n",
- " [21] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010E_IPCC_classes_1km.gpkg\"\n",
- " [22] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010W_IPCC_classes_1km.gpkg\"\n",
- " [23] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020E_IPCC_classes_1km.gpkg\"\n",
- " [24] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020W_IPCC_classes_1km.gpkg\"\n",
- " [25] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_030E_IPCC_classes_1km.gpkg\"\n",
- " [26] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_040E_IPCC_classes_1km.gpkg\"\n",
- " [27] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_050W_IPCC_classes_1km.gpkg\"\n",
- " [28] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_060W_IPCC_classes_1km.gpkg\"\n",
- " [29] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070E_IPCC_classes_1km.gpkg\"\n",
- " [30] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070W_IPCC_classes_1km.gpkg\"\n",
- " [31] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080E_IPCC_classes_1km.gpkg\"\n",
- " [32] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080W_IPCC_classes_1km.gpkg\"\n",
- " [33] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090E_IPCC_classes_1km.gpkg\"\n",
- " [34] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090W_IPCC_classes_1km.gpkg\"\n",
- " [35] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_100E_IPCC_classes_1km.gpkg\"\n",
- " [36] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_110E_IPCC_classes_1km.gpkg\"\n",
- " [37] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_120E_IPCC_classes_1km.gpkg\"\n",
- " [38] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_130E_IPCC_classes_1km.gpkg\"\n",
- " [39] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_010E_IPCC_classes_1km.gpkg\"\n",
- " [40] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_020E_IPCC_classes_1km.gpkg\"\n",
- " [41] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_030E_IPCC_classes_1km.gpkg\"\n",
- " [42] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040E_IPCC_classes_1km.gpkg\"\n",
- " [43] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040W_IPCC_classes_1km.gpkg\"\n",
- " [44] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050E_IPCC_classes_1km.gpkg\"\n",
- " [45] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050W_IPCC_classes_1km.gpkg\"\n",
- " [46] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_060W_IPCC_classes_1km.gpkg\"\n",
- " [47] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_070W_IPCC_classes_1km.gpkg\"\n",
- " [48] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_080W_IPCC_classes_1km.gpkg\"\n",
- " [49] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_110E_IPCC_classes_1km.gpkg\"\n",
- " [50] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_120E_IPCC_classes_1km.gpkg\"\n",
- " [51] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_130E_IPCC_classes_1km.gpkg\"\n",
- " [52] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_140E_IPCC_classes_1km.gpkg\"\n",
- " [53] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_150E_IPCC_classes_1km.gpkg\"\n",
- " [54] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_160E_IPCC_classes_1km.gpkg\"\n",
- " [55] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_170E_IPCC_classes_1km.gpkg\"\n",
- " [56] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_000E_IPCC_classes_1km.gpkg\"\n",
- " [57] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010E_IPCC_classes_1km.gpkg\"\n",
- " [58] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010W_IPCC_classes_1km.gpkg\"\n",
- " [59] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020E_IPCC_classes_1km.gpkg\"\n",
- " [60] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020W_IPCC_classes_1km.gpkg\"\n",
- " [61] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_030E_IPCC_classes_1km.gpkg\"\n",
- " [62] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_040E_IPCC_classes_1km.gpkg\"\n",
- " [63] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_050E_IPCC_classes_1km.gpkg\"\n",
- " [64] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_060W_IPCC_classes_1km.gpkg\"\n",
- " [65] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070E_IPCC_classes_1km.gpkg\"\n",
- " [66] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070W_IPCC_classes_1km.gpkg\"\n",
- " [67] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080E_IPCC_classes_1km.gpkg\"\n",
- " [68] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080W_IPCC_classes_1km.gpkg\"\n",
- " [69] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090E_IPCC_classes_1km.gpkg\"\n",
- " [70] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090W_IPCC_classes_1km.gpkg\"\n",
- " [71] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100E_IPCC_classes_1km.gpkg\"\n",
- " [72] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100W_IPCC_classes_1km.gpkg\"\n",
- " [73] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110E_IPCC_classes_1km.gpkg\"\n",
- " [74] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110W_IPCC_classes_1km.gpkg\"\n",
- " [75] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_120E_IPCC_classes_1km.gpkg\"\n",
- " [76] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_160W_IPCC_classes_1km.gpkg\"\n",
- " [77] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_010E_IPCC_classes_1km.gpkg\"\n",
- " [78] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_020E_IPCC_classes_1km.gpkg\"\n",
- " [79] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_030E_IPCC_classes_1km.gpkg\"\n",
- " [80] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_040E_IPCC_classes_1km.gpkg\"\n",
- " [81] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_050W_IPCC_classes_1km.gpkg\"\n",
- " [82] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_060W_IPCC_classes_1km.gpkg\"\n",
- " [83] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_070W_IPCC_classes_1km.gpkg\"\n",
- " [84] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_110E_IPCC_classes_1km.gpkg\"\n",
- " [85] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_140E_IPCC_classes_1km.gpkg\"\n",
- " [86] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_150E_IPCC_classes_1km.gpkg\"\n",
- " [87] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_160E_IPCC_classes_1km.gpkg\"\n",
- " [88] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010E_IPCC_classes_1km.gpkg\"\n",
- " [89] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010W_IPCC_classes_1km.gpkg\"\n",
- " [90] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_020W_IPCC_classes_1km.gpkg\"\n",
- " [91] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_040E_IPCC_classes_1km.gpkg\"\n",
- " [92] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_050E_IPCC_classes_1km.gpkg\"\n",
- " [93] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_060E_IPCC_classes_1km.gpkg\"\n",
- " [94] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_070E_IPCC_classes_1km.gpkg\"\n",
- " [95] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080E_IPCC_classes_1km.gpkg\"\n",
- " [96] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080W_IPCC_classes_1km.gpkg\"\n",
- " [97] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090E_IPCC_classes_1km.gpkg\"\n",
- " [98] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090W_IPCC_classes_1km.gpkg\"\n",
- " [99] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100E_IPCC_classes_1km.gpkg\"\n",
- "[100] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100W_IPCC_classes_1km.gpkg\"\n",
- "[101] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110E_IPCC_classes_1km.gpkg\"\n",
- "[102] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110W_IPCC_classes_1km.gpkg\"\n",
- "[103] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120E_IPCC_classes_1km.gpkg\"\n",
- "[104] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120W_IPCC_classes_1km.gpkg\"\n",
- "[105] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_160W_IPCC_classes_1km.gpkg\"\n",
- "[106] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_170W_IPCC_classes_1km.gpkg\"\n",
- "[107] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_010E_IPCC_classes_1km.gpkg\"\n",
- "[108] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_020E_IPCC_classes_1km.gpkg\"\n",
- "[109] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_030E_IPCC_classes_1km.gpkg\"\n",
- "[110] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_060W_IPCC_classes_1km.gpkg\"\n",
- "[111] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_070W_IPCC_classes_1km.gpkg\"\n",
- "[112] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_080W_IPCC_classes_1km.gpkg\"\n",
- "[113] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_110E_IPCC_classes_1km.gpkg\"\n",
- "[114] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_120E_IPCC_classes_1km.gpkg\"\n",
- "[115] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_130E_IPCC_classes_1km.gpkg\"\n",
- "[116] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_140E_IPCC_classes_1km.gpkg\"\n",
- "[117] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_150E_IPCC_classes_1km.gpkg\"\n",
- "[118] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_170E_IPCC_classes_1km.gpkg\"\n",
- "[119] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_000E_IPCC_classes_1km.gpkg\"\n",
- "[120] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010E_IPCC_classes_1km.gpkg\"\n",
- "[121] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010W_IPCC_classes_1km.gpkg\"\n",
- "[122] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_020E_IPCC_classes_1km.gpkg\"\n",
- "[123] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_030E_IPCC_classes_1km.gpkg\"\n",
- "[124] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_040E_IPCC_classes_1km.gpkg\"\n",
- "[125] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_050E_IPCC_classes_1km.gpkg\"\n",
- "[126] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_060E_IPCC_classes_1km.gpkg\"\n",
- "[127] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_070E_IPCC_classes_1km.gpkg\"\n",
- "[128] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080E_IPCC_classes_1km.gpkg\"\n",
- "[129] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080W_IPCC_classes_1km.gpkg\"\n",
- "[130] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090E_IPCC_classes_1km.gpkg\"\n",
- "[131] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090W_IPCC_classes_1km.gpkg\"\n",
- "[132] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100E_IPCC_classes_1km.gpkg\"\n",
- "[133] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100W_IPCC_classes_1km.gpkg\"\n",
- "[134] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110E_IPCC_classes_1km.gpkg\"\n",
- "[135] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110W_IPCC_classes_1km.gpkg\"\n",
- "[136] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120E_IPCC_classes_1km.gpkg\"\n",
- "[137] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120W_IPCC_classes_1km.gpkg\"\n",
- "[138] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130E_IPCC_classes_1km.gpkg\"\n",
- "[139] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130W_IPCC_classes_1km.gpkg\"\n",
- "[140] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_140E_IPCC_classes_1km.gpkg\"\n",
- "[141] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_070W_IPCC_classes_1km.gpkg\"\n",
- "[142] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_080W_IPCC_classes_1km.gpkg\"\n",
- "[143] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_140E_IPCC_classes_1km.gpkg\"\n",
- "[144] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_160E_IPCC_classes_1km.gpkg\"\n",
- "[145] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_170E_IPCC_classes_1km.gpkg\"\n",
- "[146] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_000E_IPCC_classes_1km.gpkg\"\n",
- "[147] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010E_IPCC_classes_1km.gpkg\"\n",
- "[148] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010W_IPCC_classes_1km.gpkg\"\n",
- "[149] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_020E_IPCC_classes_1km.gpkg\"\n",
- "[150] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_030E_IPCC_classes_1km.gpkg\"\n",
- "[151] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_040E_IPCC_classes_1km.gpkg\"\n",
- "[152] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_050E_IPCC_classes_1km.gpkg\"\n",
- "[153] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060E_IPCC_classes_1km.gpkg\"\n",
- "[154] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060W_IPCC_classes_1km.gpkg\"\n",
- "[155] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070E_IPCC_classes_1km.gpkg\"\n",
- "[156] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070W_IPCC_classes_1km.gpkg\"\n",
- "[157] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080E_IPCC_classes_1km.gpkg\"\n",
- "[158] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080W_IPCC_classes_1km.gpkg\"\n",
- "[159] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090E_IPCC_classes_1km.gpkg\"\n",
- "[160] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090W_IPCC_classes_1km.gpkg\"\n",
- "[161] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100E_IPCC_classes_1km.gpkg\"\n",
- "[162] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100W_IPCC_classes_1km.gpkg\"\n",
- "[163] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110E_IPCC_classes_1km.gpkg\"\n",
- "[164] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110W_IPCC_classes_1km.gpkg\"\n",
- "[165] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120E_IPCC_classes_1km.gpkg\"\n",
- "[166] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120W_IPCC_classes_1km.gpkg\"\n",
- "[167] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130E_IPCC_classes_1km.gpkg\"\n",
- "[168] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130W_IPCC_classes_1km.gpkg\"\n",
- "[169] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_140E_IPCC_classes_1km.gpkg\"\n",
- "[170] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_150E_IPCC_classes_1km.gpkg\"\n",
- "[171] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_070W_IPCC_classes_1km.gpkg\"\n",
- "[172] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_080W_IPCC_classes_1km.gpkg\"\n",
- "[173] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_000E_IPCC_classes_1km.gpkg\"\n",
- "[174] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010E_IPCC_classes_1km.gpkg\"\n",
- "[175] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010W_IPCC_classes_1km.gpkg\"\n",
- "[176] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020E_IPCC_classes_1km.gpkg\"\n",
- "[177] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020W_IPCC_classes_1km.gpkg\"\n",
- "[178] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_030E_IPCC_classes_1km.gpkg\"\n",
- "[179] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_040E_IPCC_classes_1km.gpkg\"\n",
- "[180] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_050E_IPCC_classes_1km.gpkg\"\n",
- "[181] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060E_IPCC_classes_1km.gpkg\"\n",
- "[182] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060W_IPCC_classes_1km.gpkg\"\n",
- "[183] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070E_IPCC_classes_1km.gpkg\"\n",
- "[184] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070W_IPCC_classes_1km.gpkg\"\n",
- "[185] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080E_IPCC_classes_1km.gpkg\"\n",
- "[186] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080W_IPCC_classes_1km.gpkg\"\n",
- "[187] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090E_IPCC_classes_1km.gpkg\"\n",
- "[188] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090W_IPCC_classes_1km.gpkg\"\n",
- "[189] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100E_IPCC_classes_1km.gpkg\"\n",
- "[190] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100W_IPCC_classes_1km.gpkg\"\n",
- "[191] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110E_IPCC_classes_1km.gpkg\"\n",
- "[192] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110W_IPCC_classes_1km.gpkg\"\n",
- "[193] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120E_IPCC_classes_1km.gpkg\"\n",
- "[194] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120W_IPCC_classes_1km.gpkg\"\n",
- "[195] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130E_IPCC_classes_1km.gpkg\"\n",
- "[196] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130W_IPCC_classes_1km.gpkg\"\n",
- "[197] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140E_IPCC_classes_1km.gpkg\"\n",
- "[198] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140W_IPCC_classes_1km.gpkg\"\n",
- "[199] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150E_IPCC_classes_1km.gpkg\"\n",
- "[200] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150W_IPCC_classes_1km.gpkg\"\n",
- "[201] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160E_IPCC_classes_1km.gpkg\"\n",
- "[202] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160W_IPCC_classes_1km.gpkg\"\n",
- "[203] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_000E_IPCC_classes_1km.gpkg\"\n",
- "[204] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_010E_IPCC_classes_1km.gpkg\"\n",
- "[205] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_020E_IPCC_classes_1km.gpkg\"\n",
- "[206] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_030E_IPCC_classes_1km.gpkg\"\n",
- "[207] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_040E_IPCC_classes_1km.gpkg\"\n",
- "[208] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_050E_IPCC_classes_1km.gpkg\"\n",
- "[209] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_060E_IPCC_classes_1km.gpkg\"\n",
- "[210] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_070E_IPCC_classes_1km.gpkg\"\n",
- "[211] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_080E_IPCC_classes_1km.gpkg\"\n",
- "[212] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_090E_IPCC_classes_1km.gpkg\"\n",
- "[213] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100E_IPCC_classes_1km.gpkg\"\n",
- "[214] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100W_IPCC_classes_1km.gpkg\"\n",
- "[215] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110E_IPCC_classes_1km.gpkg\"\n",
- "[216] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110W_IPCC_classes_1km.gpkg\"\n",
- "[217] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120E_IPCC_classes_1km.gpkg\"\n",
- "[218] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120W_IPCC_classes_1km.gpkg\"\n",
- "[219] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130E_IPCC_classes_1km.gpkg\"\n",
- "[220] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130W_IPCC_classes_1km.gpkg\"\n",
- "[221] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140E_IPCC_classes_1km.gpkg\"\n",
- "[222] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140W_IPCC_classes_1km.gpkg\"\n",
- "[223] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150E_IPCC_classes_1km.gpkg\"\n",
- "[224] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150W_IPCC_classes_1km.gpkg\"\n",
- "[225] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160E_IPCC_classes_1km.gpkg\"\n",
- "[226] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160W_IPCC_classes_1km.gpkg\"\n",
- "[227] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170E_IPCC_classes_1km.gpkg\"\n",
- "[228] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170W_IPCC_classes_1km.gpkg\"\n",
- "[229] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_010E_IPCC_classes_1km.gpkg\"\n",
- "[230] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_020E_IPCC_classes_1km.gpkg\"\n",
- "[231] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_030E_IPCC_classes_1km.gpkg\"\n",
- "[232] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_090E_IPCC_classes_1km.gpkg\"\n",
- "[233] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_100E_IPCC_classes_1km.gpkg\"\n",
- "[234] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_110E_IPCC_classes_1km.gpkg\"\n",
- "[235] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_120E_IPCC_classes_1km.gpkg\"\n",
- "[236] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_130E_IPCC_classes_1km.gpkg\"\n",
- "[237] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_140E_IPCC_classes_1km.gpkg\"\n",
+ " [1] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_000E_IPCC_classes_1km.gpkg\"\n",
+ " [2] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_010E_IPCC_classes_1km.gpkg\"\n",
+ " [3] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_020E_IPCC_classes_1km.gpkg\"\n",
+ " [4] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_030E_IPCC_classes_1km.gpkg\"\n",
+ " [5] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040E_IPCC_classes_1km.gpkg\"\n",
+ " [6] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040W_IPCC_classes_1km.gpkg\"\n",
+ " [7] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_050W_IPCC_classes_1km.gpkg\"\n",
+ " [8] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_060W_IPCC_classes_1km.gpkg\"\n",
+ " [9] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_070W_IPCC_classes_1km.gpkg\"\n",
+ " [10] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [11] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [12] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [13] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [14] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [15] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [16] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_130E_IPCC_classes_1km.gpkg\"\n",
+ " [17] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_140E_IPCC_classes_1km.gpkg\"\n",
+ " [18] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_150E_IPCC_classes_1km.gpkg\"\n",
+ " [19] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_160E_IPCC_classes_1km.gpkg\"\n",
+ " [20] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_000E_IPCC_classes_1km.gpkg\"\n",
+ " [21] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010E_IPCC_classes_1km.gpkg\"\n",
+ " [22] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010W_IPCC_classes_1km.gpkg\"\n",
+ " [23] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020E_IPCC_classes_1km.gpkg\"\n",
+ " [24] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020W_IPCC_classes_1km.gpkg\"\n",
+ " [25] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_030E_IPCC_classes_1km.gpkg\"\n",
+ " [26] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_040E_IPCC_classes_1km.gpkg\"\n",
+ " [27] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_050W_IPCC_classes_1km.gpkg\"\n",
+ " [28] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_060W_IPCC_classes_1km.gpkg\"\n",
+ " [29] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070E_IPCC_classes_1km.gpkg\"\n",
+ " [30] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070W_IPCC_classes_1km.gpkg\"\n",
+ " [31] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080E_IPCC_classes_1km.gpkg\"\n",
+ " [32] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [33] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [34] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [35] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [36] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [37] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [38] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_130E_IPCC_classes_1km.gpkg\"\n",
+ " [39] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_010E_IPCC_classes_1km.gpkg\"\n",
+ " [40] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_020E_IPCC_classes_1km.gpkg\"\n",
+ " [41] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_030E_IPCC_classes_1km.gpkg\"\n",
+ " [42] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040E_IPCC_classes_1km.gpkg\"\n",
+ " [43] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040W_IPCC_classes_1km.gpkg\"\n",
+ " [44] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050E_IPCC_classes_1km.gpkg\"\n",
+ " [45] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050W_IPCC_classes_1km.gpkg\"\n",
+ " [46] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_060W_IPCC_classes_1km.gpkg\"\n",
+ " [47] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_070W_IPCC_classes_1km.gpkg\"\n",
+ " [48] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_080W_IPCC_classes_1km.gpkg\"\n",
+ " [49] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_110E_IPCC_classes_1km.gpkg\"\n",
+ " [50] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_120E_IPCC_classes_1km.gpkg\"\n",
+ " [51] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_130E_IPCC_classes_1km.gpkg\"\n",
+ " [52] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_140E_IPCC_classes_1km.gpkg\"\n",
+ " [53] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_150E_IPCC_classes_1km.gpkg\"\n",
+ " [54] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_160E_IPCC_classes_1km.gpkg\"\n",
+ " [55] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_170E_IPCC_classes_1km.gpkg\"\n",
+ " [56] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_000E_IPCC_classes_1km.gpkg\"\n",
+ " [57] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010E_IPCC_classes_1km.gpkg\"\n",
+ " [58] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010W_IPCC_classes_1km.gpkg\"\n",
+ " [59] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020E_IPCC_classes_1km.gpkg\"\n",
+ " [60] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020W_IPCC_classes_1km.gpkg\"\n",
+ " [61] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_030E_IPCC_classes_1km.gpkg\"\n",
+ " [62] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_040E_IPCC_classes_1km.gpkg\"\n",
+ " [63] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_060W_IPCC_classes_1km.gpkg\"\n",
+ " [64] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070E_IPCC_classes_1km.gpkg\"\n",
+ " [65] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070W_IPCC_classes_1km.gpkg\"\n",
+ " [66] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080E_IPCC_classes_1km.gpkg\"\n",
+ " [67] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [68] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [69] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [70] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [71] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100W_IPCC_classes_1km.gpkg\"\n",
+ " [72] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [73] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110W_IPCC_classes_1km.gpkg\"\n",
+ " [74] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [75] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_160W_IPCC_classes_1km.gpkg\"\n",
+ " [76] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_020E_IPCC_classes_1km.gpkg\"\n",
+ " [77] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_030E_IPCC_classes_1km.gpkg\"\n",
+ " [78] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_040E_IPCC_classes_1km.gpkg\"\n",
+ " [79] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_050W_IPCC_classes_1km.gpkg\"\n",
+ " [80] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_060W_IPCC_classes_1km.gpkg\"\n",
+ " [81] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_070W_IPCC_classes_1km.gpkg\"\n",
+ " [82] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_140E_IPCC_classes_1km.gpkg\"\n",
+ " [83] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_150E_IPCC_classes_1km.gpkg\"\n",
+ " [84] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_160E_IPCC_classes_1km.gpkg\"\n",
+ " [85] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_020W_IPCC_classes_1km.gpkg\"\n",
+ " [86] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_070E_IPCC_classes_1km.gpkg\"\n",
+ " [87] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080E_IPCC_classes_1km.gpkg\"\n",
+ " [88] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [89] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [90] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [91] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [92] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100W_IPCC_classes_1km.gpkg\"\n",
+ " [93] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [94] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110W_IPCC_classes_1km.gpkg\"\n",
+ " [95] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [96] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120W_IPCC_classes_1km.gpkg\"\n",
+ " [97] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_160W_IPCC_classes_1km.gpkg\"\n",
+ " [98] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_010E_IPCC_classes_1km.gpkg\"\n",
+ " [99] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_020E_IPCC_classes_1km.gpkg\"\n",
+ "[100] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_030E_IPCC_classes_1km.gpkg\"\n",
+ "[101] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_060W_IPCC_classes_1km.gpkg\"\n",
+ "[102] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_070W_IPCC_classes_1km.gpkg\"\n",
+ "[103] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_080W_IPCC_classes_1km.gpkg\"\n",
+ "[104] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_110E_IPCC_classes_1km.gpkg\"\n",
+ "[105] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_120E_IPCC_classes_1km.gpkg\"\n",
+ "[106] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_130E_IPCC_classes_1km.gpkg\"\n",
+ "[107] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_140E_IPCC_classes_1km.gpkg\"\n",
+ "[108] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_150E_IPCC_classes_1km.gpkg\"\n",
+ "[109] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_170E_IPCC_classes_1km.gpkg\"\n",
+ "[110] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[111] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[112] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010W_IPCC_classes_1km.gpkg\"\n",
+ "[113] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[114] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[115] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[116] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_050E_IPCC_classes_1km.gpkg\"\n",
+ "[117] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[118] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[119] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[120] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080W_IPCC_classes_1km.gpkg\"\n",
+ "[121] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[122] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090W_IPCC_classes_1km.gpkg\"\n",
+ "[123] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[124] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100W_IPCC_classes_1km.gpkg\"\n",
+ "[125] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[126] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[127] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[128] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[129] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[130] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[131] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[132] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_080W_IPCC_classes_1km.gpkg\"\n",
+ "[133] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_140E_IPCC_classes_1km.gpkg\"\n",
+ "[134] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_160E_IPCC_classes_1km.gpkg\"\n",
+ "[135] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_170E_IPCC_classes_1km.gpkg\"\n",
+ "[136] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[137] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[138] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010W_IPCC_classes_1km.gpkg\"\n",
+ "[139] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[140] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[141] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[142] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[143] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060W_IPCC_classes_1km.gpkg\"\n",
+ "[144] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[145] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070W_IPCC_classes_1km.gpkg\"\n",
+ "[146] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[147] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080W_IPCC_classes_1km.gpkg\"\n",
+ "[148] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[149] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090W_IPCC_classes_1km.gpkg\"\n",
+ "[150] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[151] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100W_IPCC_classes_1km.gpkg\"\n",
+ "[152] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[153] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[154] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[155] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[156] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[157] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[158] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[159] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_150E_IPCC_classes_1km.gpkg\"\n",
+ "[160] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_070W_IPCC_classes_1km.gpkg\"\n",
+ "[161] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_080W_IPCC_classes_1km.gpkg\"\n",
+ "[162] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[163] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[164] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010W_IPCC_classes_1km.gpkg\"\n",
+ "[165] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[166] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[167] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[168] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_050E_IPCC_classes_1km.gpkg\"\n",
+ "[169] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[170] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060W_IPCC_classes_1km.gpkg\"\n",
+ "[171] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[172] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070W_IPCC_classes_1km.gpkg\"\n",
+ "[173] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[174] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080W_IPCC_classes_1km.gpkg\"\n",
+ "[175] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[176] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090W_IPCC_classes_1km.gpkg\"\n",
+ "[177] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[178] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100W_IPCC_classes_1km.gpkg\"\n",
+ "[179] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[180] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[181] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[182] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[183] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[184] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[185] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[186] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140W_IPCC_classes_1km.gpkg\"\n",
+ "[187] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150E_IPCC_classes_1km.gpkg\"\n",
+ "[188] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150W_IPCC_classes_1km.gpkg\"\n",
+ "[189] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160E_IPCC_classes_1km.gpkg\"\n",
+ "[190] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160W_IPCC_classes_1km.gpkg\"\n",
+ "[191] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[192] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[193] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[194] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[195] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[196] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_050E_IPCC_classes_1km.gpkg\"\n",
+ "[197] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[198] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[199] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[200] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[201] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[202] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[203] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[204] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[205] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[206] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[207] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[208] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[209] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140W_IPCC_classes_1km.gpkg\"\n",
+ "[210] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150E_IPCC_classes_1km.gpkg\"\n",
+ "[211] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150W_IPCC_classes_1km.gpkg\"\n",
+ "[212] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160E_IPCC_classes_1km.gpkg\"\n",
+ "[213] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160W_IPCC_classes_1km.gpkg\"\n",
+ "[214] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170E_IPCC_classes_1km.gpkg\"\n",
+ "[215] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170W_IPCC_classes_1km.gpkg\"\n",
+ "[216] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[217] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[218] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[219] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[220] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[221] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[222] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[223] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_140E_IPCC_classes_1km.gpkg\"\n",
"[1] 1\n",
"Reading layer `00N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 193 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 8.798674 ymin: -2.734051 xmax: 10 ymax: 0\n",
+ "Bounding box: xmin: 8.864954 ymin: -2.725766 xmax: 10 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 2\n",
"Reading layer `00N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: -10 xmax: 20 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 3\n",
"Reading layer `00N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 277 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: -10 xmax: 30 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 4\n",
"Reading layer `00N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: -10 xmax: 40 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 5\n",
"Reading layer `00N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 203 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: -9.428335 xmax: 46.45402 ymax: 0\n",
+ "Bounding box: xmin: 40 ymin: -2.717481 xmax: 41.63215 ymax: -1.043911\n",
"Geodetic CRS: WGS 84\n",
"[1] 6\n",
"Reading layer `00N_040W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 228 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -40 ymin: -10 xmax: -34.79702 ymax: -3.082022\n",
+ "Bounding box: xmin: -40 ymin: -10 xmax: -34.84673 ymax: -3.521127\n",
"Geodetic CRS: WGS 84\n",
"[1] 7\n",
"Reading layer `00N_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_050W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 263 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -50 ymin: -10 xmax: -40 ymax: 0\n",
+ "Bounding box: xmin: -50 ymin: -10 xmax: -40.24027 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 8\n",
"Reading layer `00N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 251 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -60 ymin: -10 xmax: -50 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 9\n",
"Reading layer `00N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -70 ymin: -10 xmax: -60 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 10\n",
"Reading layer `00N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -80 ymin: -10 xmax: -70 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 11\n",
"Reading layer `00N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 213 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 98.30157 ymin: -2.642916 xmax: 100 ymax: 0\n",
+ "Bounding box: xmin: 98.30157 ymin: -2.651201 xmax: 100 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 12\n",
"Reading layer `00N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 238 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80.95278 ymin: -5.517813 xmax: -80 ymax: 0\n",
+ "Bounding box: xmin: -80.89478 ymin: -5.294118 xmax: -80 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 13\n",
"Reading layer `00N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: -7.870754 xmax: 110 ymax: 0\n",
+ "Bounding box: xmin: 100 ymin: -7.845899 xmax: 110 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 14\n",
"Reading layer `00N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: -10 xmax: 120 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 15\n",
"Reading layer `00N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 242 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: -10 xmax: 130 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 16\n",
"Reading layer `00N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 256 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: -8.425849 xmax: 140 ymax: -0.008285004\n",
+ "Bounding box: xmin: 130 ymin: -8.334714 xmax: 140 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 17\n",
"Reading layer `00N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 485 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140 ymin: -10 xmax: 150 ymax: -1.358741\n",
+ "Bounding box: xmin: 140 ymin: -10 xmax: 150 ymax: -1.350456\n",
"Geodetic CRS: WGS 84\n",
"[1] 18\n",
"Reading layer `00N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 461 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 150 ymin: -10 xmax: 160 ymax: -2.377796\n",
"Geodetic CRS: WGS 84\n",
"[1] 19\n",
"Reading layer `00N_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 225 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: -9.925435 xmax: 161.5659 ymax: -8.309859\n",
+ "Bounding box: xmin: 160 ymin: -9.925435 xmax: 161.5659 ymax: -8.318144\n",
"Geodetic CRS: WGS 84\n",
"[1] 20\n",
"Reading layer `10N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 253 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 0 ymin: 0 xmax: 10 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 21\n",
"Reading layer `10N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 273 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 0 xmax: 20 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 22\n",
"Reading layer `10N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -10 ymin: 4.357912 xmax: 0 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 23\n",
"Reading layer `10N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: 0 xmax: 30 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 24\n",
"Reading layer `10N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 239 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -13.9768 ymin: 5.832643 xmax: -10 ymax: 10\n",
+ "Bounding box: xmin: -13.98509 ymin: 5.824358 xmax: -10 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 25\n",
"Reading layer `10N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 270 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: 0 xmax: 40 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 26\n",
"Reading layer `10N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 203 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 0.02485501 xmax: 45.18641 ymax: 10\n",
+ "Bounding box: xmin: 40 ymin: 5.865783 xmax: 42.50207 ymax: 9.080365\n",
"Geodetic CRS: WGS 84\n",
"[1] 27\n",
"Reading layer `10N_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_050W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 139 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -50 ymin: 0 xmax: -49.39519 ymax: 1.690141\n",
+ "Bounding box: xmin: -50 ymin: 0 xmax: -49.39519 ymax: 1.557581\n",
"Geodetic CRS: WGS 84\n",
"[1] 28\n",
"Reading layer `10N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 256 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: 0 xmax: -50 ymax: 8.525269\n",
+ "Bounding box: xmin: -60 ymin: 0 xmax: -50 ymax: 8.516984\n",
"Geodetic CRS: WGS 84\n",
"[1] 29\n",
"Reading layer `10N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 234 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 76.24689 ymin: 6.437448 xmax: 80 ymax: 10\n",
+ "Bounding box: xmin: 76.28832 ymin: 6.429163 xmax: 80 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 30\n",
"Reading layer `10N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 268 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -70 ymin: 0 xmax: -60 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 31\n",
"Reading layer `10N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 5.923778 xmax: 81.86413 ymax: 9.826015\n",
+ "Bounding box: xmin: 80 ymin: 5.923778 xmax: 81.85584 ymax: 9.826015\n",
"Geodetic CRS: WGS 84\n",
"[1] 32\n",
"Reading layer `10N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 21 features and 1 field\n",
+ "Simple feature collection with 721 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -80 ymin: 0 xmax: -70 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 33\n",
"Reading layer `10N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 92.71748 ymin: 0 xmax: 100 ymax: 10\n",
+ "Bounding box: xmin: 92.7092 ymin: 0 xmax: 100 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 34\n",
"Reading layer `10N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 342 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -85.6918 ymin: 0 xmax: -80 ymax: 10\n",
+ "Bounding box: xmin: -85.70008 ymin: 0 xmax: -80 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 35\n",
"Reading layer `10N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 100 ymin: 0 xmax: 110 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 36\n",
"Reading layer `10N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 0 xmax: 120 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 37\n",
"Reading layer `10N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 238 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 0 xmax: 129.3621 ymax: 10\n",
+ "Bounding box: xmin: 120 ymin: 0 xmax: 129.3703 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 38\n",
"Reading layer `10N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 156 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 134.4822 ymin: 7.315659 xmax: 134.6479 ymax: 7.721624\n",
+ "Bounding box: xmin: 134.4905 ymin: 7.357084 xmax: 134.6396 ymax: 7.630489\n",
"Geodetic CRS: WGS 84\n",
"[1] 39\n",
"Reading layer `10S_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 273 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 12.97432 ymin: -19.46976 xmax: 20 ymax: -10\n",
+ "Bounding box: xmin: 13.01574 ymin: -17.24109 xmax: 20 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 40\n",
"Reading layer `10S_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: -20 xmax: 30 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 41\n",
"Reading layer `10S_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: -20 xmax: 40 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 42\n",
"Reading layer `10S_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: -20 xmax: 50 ymax: -10.14085\n",
+ "Bounding box: xmin: 40 ymin: -20 xmax: 50 ymax: -10.13256\n",
"Geodetic CRS: WGS 84\n",
"[1] 43\n",
"Reading layer `10S_040W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 233 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -40 ymin: -19.72659 xmax: -36.01491 ymax: -10\n",
+ "Bounding box: xmin: -40 ymin: -19.71831 xmax: -36.09776 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 44\n",
"Reading layer `10S_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 210 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 50 ymin: -16.74399 xmax: 50.48053 ymax: -13.46313\n",
+ "Bounding box: xmin: 50 ymin: -15.97349 xmax: 50.48053 ymax: -13.62055\n",
"Geodetic CRS: WGS 84\n",
"[1] 45\n",
"Reading layer `10S_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 260 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -50 ymin: -20 xmax: -40 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 46\n",
"Reading layer `10S_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -60 ymin: -20 xmax: -50 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 47\n",
"Reading layer `10S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -70 ymin: -20 xmax: -60 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 48\n",
"Reading layer `10S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 247 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -77.66363 ymin: -17.55592 xmax: -70 ymax: -10\n",
+ "Bounding box: xmin: -76.1889 ymin: -13.82767 xmax: -70 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 49\n",
"Reading layer `10S_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 3 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 119.9834 ymin: -10.02486 xmax: 120 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 50\n",
"Reading layer `10S_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 401 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: -19.81773 xmax: 130 ymax: -10\n",
+ "Bounding box: xmin: 120 ymin: -18.40928 xmax: 130 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 51\n",
"Reading layer `10S_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 261 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: -19.4449 xmax: 140 ymax: -11.02734\n",
+ "Bounding box: xmin: 130 ymin: -19.03065 xmax: 140 ymax: -11.02734\n",
"Geodetic CRS: WGS 84\n",
"[1] 52\n",
"Reading layer `10S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 477 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: -20 xmax: 150 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 53\n",
"Reading layer `10S_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 419 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: -11.64043 xmax: 160 ymax: -10\n",
+ "Bounding box: xmin: 150 ymin: -11.62386 xmax: 160 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 54\n",
"Reading layer `10S_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 236 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: -19.65203 xmax: 169.4946 ymax: -10.20713\n",
+ "Bounding box: xmin: 160 ymin: -19.65203 xmax: 169.4946 ymax: -10.19884\n",
"Geodetic CRS: WGS 84\n",
"[1] 55\n",
"Reading layer `10S_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_170E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 238 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 177.2577 ymin: -19.16321 xmax: 179.9337 ymax: -16.52858\n",
+ "Bounding box: xmin: 177.3322 ymin: -19.16321 xmax: 179.884 ymax: -16.52858\n",
"Geodetic CRS: WGS 84\n",
"[1] 56\n",
"Reading layer `20N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 38 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 0 ymin: 10 xmax: 9.98343 ymax: 18.93123\n",
+ "Bounding box: xmin: 0.5219553 ymin: 10 xmax: 9.12179 ymax: 11.91384\n",
"Geodetic CRS: WGS 84\n",
"[1] 57\n",
"Reading layer `20N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 30 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 10.00829 ymin: 10 xmax: 20 ymax: 13.38857\n",
+ "Bounding box: xmin: 10.42254 ymin: 10 xmax: 19.99171 ymax: 12.12096\n",
"Geodetic CRS: WGS 84\n",
"[1] 58\n",
"Reading layer `20N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 216 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -10 ymin: 10 xmax: 0 ymax: 16.69428\n",
+ "Bounding box: xmin: -10 ymin: 10 xmax: -3.454847 ymax: 14.58989\n",
"Geodetic CRS: WGS 84\n",
"[1] 59\n",
"Reading layer `20N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 54 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 10 xmax: 30 ymax: 14.18393\n",
+ "Bounding box: xmin: 20.09942 ymin: 10 xmax: 30 ymax: 11.95526\n",
"Geodetic CRS: WGS 84\n",
"[1] 60\n",
"Reading layer `20N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 247 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -17.06711 ymin: 10 xmax: -10 ymax: 16.65286\n",
+ "Bounding box: xmin: -16.7937 ymin: 10 xmax: -10 ymax: 13.80282\n",
"Geodetic CRS: WGS 84\n",
"[1] 61\n",
"Reading layer `20N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: 10 xmax: 40 ymax: 17.1831\n",
+ "Bounding box: xmin: 30 ymin: 10 xmax: 39.942 ymax: 13.76968\n",
"Geodetic CRS: WGS 84\n",
"[1] 62\n",
"Reading layer `20N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 107 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 10 xmax: 48.93952 ymax: 19.3372\n",
+ "Bounding box: xmin: 45.42668 ymin: 10.03314 xmax: 48.87324 ymax: 11.04391\n",
"Geodetic CRS: WGS 84\n",
"[1] 63\n",
- "Reading layer `20N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_050E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_060W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 13 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 54.22535 ymin: 17.13339 xmax: 54.26678 ymax: 17.14996\n",
+ "Bounding box: xmin: -59.60232 ymin: 13.18973 xmax: -59.53604 ymax: 13.27258\n",
"Geodetic CRS: WGS 84\n",
"[1] 64\n",
- "Reading layer `20N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_060W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_070E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -59.65203 ymin: 13.08202 xmax: -59.46976 ymax: 13.32229\n",
+ "Bounding box: xmin: 72.7092 ymin: 10 xmax: 80 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 65\n",
- "Reading layer `20N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_070W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 467 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 72.66777 ymin: 10 xmax: 80 ymax: 20\n",
+ "Bounding box: xmin: -70 ymin: 10 xmax: -60.52196 ymax: 19.42005\n",
"Geodetic CRS: WGS 84\n",
"[1] 66\n",
- "Reading layer `20N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_080E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 26 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: 10 xmax: -60.52196 ymax: 19.67688\n",
+ "Bounding box: xmin: 80 ymin: 12.60978 xmax: 85.5261 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 67\n",
- "Reading layer `20N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 481 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 12.28666 xmax: 86.37945 ymax: 20\n",
+ "Bounding box: xmin: -78.36785 ymin: 10 xmax: -70 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 68\n",
- "Reading layer `20N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_090E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 27 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -78.36785 ymin: 10 xmax: -70 ymax: 20\n",
+ "Bounding box: xmin: 92.3778 ymin: 10 xmax: 100 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 69\n",
- "Reading layer `20N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_090W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 92.3778 ymin: 10 xmax: 100 ymax: 20\n",
+ "Bounding box: xmin: -90 ymin: 10 xmax: -81.18476 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 70\n",
- "Reading layer `20N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_100E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 261 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 10 xmax: -81.10191 ymax: 20\n",
+ "Bounding box: xmin: 100 ymin: 10 xmax: 110 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 71\n",
- "Reading layer `20N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_100W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 257 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 10 xmax: 110 ymax: 20\n",
+ "Bounding box: xmin: -100 ymin: 13.78625 xmax: -90 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 72\n",
- "Reading layer `20N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 17 features and 1 field\n",
+ "Simple feature collection with 220 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 13.73654 xmax: -90 ymax: 20\n",
+ "Bounding box: xmin: 110 ymin: 10 xmax: 120 ymax: 19.59403\n",
"Geodetic CRS: WGS 84\n",
"[1] 73\n",
- "Reading layer `20N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_110W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 253 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 110 ymin: 10 xmax: 120 ymax: 20\n",
+ "Bounding box: xmin: -105.4432 ymin: 16.97597 xmax: -100 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 74\n",
- "Reading layer `20N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -105.4847 ymin: 16.9594 xmax: -100 ymax: 20\n",
+ "Bounding box: xmin: 120 ymin: 10 xmax: 125.8161 ymax: 19.38691\n",
"Geodetic CRS: WGS 84\n",
"[1] 75\n",
- "Reading layer `20N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_120E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_160W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 229 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 10 xmax: 126.0812 ymax: 19.38691\n",
+ "Bounding box: xmin: -155.9983 ymin: 18.99751 xmax: -154.8302 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 76\n",
- "Reading layer `20N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_160W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_020E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 163 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -156.0315 ymin: 18.98923 xmax: -154.8302 ymax: 20\n",
+ "Bounding box: xmin: 27.19138 ymin: -30 xmax: 30 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 77\n",
- "Reading layer `20S_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_030E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 266 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 16.01491 ymin: -22.58492 xmax: 17.63877 ymax: -20.50539\n",
+ "Bounding box: xmin: 30 ymin: -30 xmax: 35.31069 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 78\n",
- "Reading layer `20S_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_020E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_040E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 241 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 21.12676 ymin: -30 xmax: 30 ymax: -20\n",
+ "Bounding box: xmin: 43.32229 ymin: -25.10356 xmax: 48.6744 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 79\n",
- "Reading layer `20S_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_030E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_050W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: -30 xmax: 35.57581 ymax: -20\n",
+ "Bounding box: xmin: -50 ymin: -29.51947 xmax: -40.21541 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 80\n",
- "Reading layer `20S_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_040E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_060W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 43.30572 ymin: -25.50953 xmax: 48.75725 ymax: -20\n",
+ "Bounding box: xmin: -60 ymin: -30 xmax: -50 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 81\n",
- "Reading layer `20S_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_050W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_070W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -50 ymin: -29.69345 xmax: -40.1657 ymax: -20\n",
+ "Bounding box: xmin: -67.04225 ymin: -30 xmax: -60 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 82\n",
- "Reading layer `20S_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_060W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_140E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: -30 xmax: -50 ymax: -20\n",
+ "Bounding box: xmin: 143.7862 ymin: -29.47804 xmax: 150 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 83\n",
- "Reading layer `20S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_070W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_150E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 17 features and 1 field\n",
+ "Simple feature collection with 264 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -67.90389 ymin: -30 xmax: -60 ymax: -20\n",
+ "Bounding box: xmin: 150 ymin: -30 xmax: 153.6123 ymax: -22.1541\n",
"Geodetic CRS: WGS 84\n",
"[1] 84\n",
- "Reading layer `20S_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_160E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 114.1922 ymin: -29.98343 xmax: 117.5725 ymax: -27.27423\n",
+ "Bounding box: xmin: 164.1176 ymin: -22.67606 xmax: 169.8923 ymax: -20.13256\n",
"Geodetic CRS: WGS 84\n",
"[1] 85\n",
- "Reading layer `20S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_140E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_020W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_020W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 32 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140.3314 ymin: -30 xmax: 150 ymax: -20\n",
+ "Bounding box: xmin: -18.10273 ymin: 27.70505 xmax: -15.51781 ymax: 28.8401\n",
"Geodetic CRS: WGS 84\n",
"[1] 86\n",
- "Reading layer `20S_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_150E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_070E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 241 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: -30 xmax: 153.6205 ymax: -22.14582\n",
+ "Bounding box: xmin: 70.31483 ymin: 20 xmax: 80 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 87\n",
- "Reading layer `20S_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_160E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_080E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 163.9851 ymin: -22.67606 xmax: 169.8923 ymax: -20.10771\n",
+ "Bounding box: xmin: 80 ymin: 20 xmax: 90 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 88\n",
- "Reading layer `30N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 228 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 18.09445 ymin: 20.90307 xmax: 18.10273 ymax: 20.91135\n",
+ "Bounding box: xmin: -80 ymin: 20 xmax: -72.63463 ymax: 26.28003\n",
"Geodetic CRS: WGS 84\n",
"[1] 89\n",
- "Reading layer `30N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_090E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 4 features and 1 field\n",
+ "Simple feature collection with 279 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -9.71831 ymin: 29.59403 xmax: -8.889809 ymax: 29.82601\n",
+ "Bounding box: xmin: 90 ymin: 20 xmax: 100 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 90\n",
- "Reading layer `30N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_020W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_090W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 244 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -18.11102 ymin: 27.70505 xmax: -15.44325 ymax: 28.8401\n",
+ "Bounding box: xmin: -90 ymin: 20 xmax: -80 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 91\n",
- "Reading layer `30N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_040E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_100E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40.058 ymin: 20.10771 xmax: 41.31732 ymax: 22.10439\n",
+ "Bounding box: xmin: 100 ymin: 20 xmax: 110 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 92\n",
- "Reading layer `30N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_050E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_100W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 260 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 51.01906 ymin: 22.76719 xmax: 59.46147 ymax: 29.87572\n",
+ "Bounding box: xmin: -100 ymin: 20 xmax: -90 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 93\n",
- "Reading layer `30N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_060E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 60.74565 ymin: 21.2179 xmax: 70 ymax: 28.16073\n",
+ "Bounding box: xmin: 110 ymin: 21.57415 xmax: 120 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 94\n",
- "Reading layer `30N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_070E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_110W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70.01657 ymin: 20 xmax: 80 ymax: 30\n",
+ "Bounding box: xmin: -110 ymin: 20 xmax: -100 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 95\n",
- "Reading layer `30N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 17 features and 1 field\n",
+ "Simple feature collection with 235 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 20 xmax: 90 ymax: 30\n",
+ "Bounding box: xmin: 120 ymin: 21.97183 xmax: 129.7017 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 96\n",
- "Reading layer `30N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_120W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 16 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80 ymin: 20 xmax: -71.76471 ymax: 26.91798\n",
+ "Bounding box: xmin: -110.0414 ymin: 23.44656 xmax: -110 ymax: 29.80116\n",
"Geodetic CRS: WGS 84\n",
"[1] 97\n",
- "Reading layer `30N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_160W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 227 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 90 ymin: 20 xmax: 100 ymax: 30\n",
+ "Bounding box: xmin: -159.7266 ymin: 20 xmax: -155.2775 ymax: 22.22038\n",
"Geodetic CRS: WGS 84\n",
"[1] 98\n",
- "Reading layer `30N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_010E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 16 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 20 xmax: -80 ymax: 30\n",
+ "Bounding box: xmin: 18.38442 ymin: -34.00994 xmax: 19.49461 ymax: -33.60398\n",
"Geodetic CRS: WGS 84\n",
"[1] 99\n",
- "Reading layer `30N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_020E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 235 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 20 xmax: 110 ymax: 30\n",
+ "Bounding box: xmin: 20.41425 ymin: -34.17564 xmax: 30 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 100\n",
- "Reading layer `30N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_030E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 91 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 20 xmax: -90 ymax: 30\n",
+ "Bounding box: xmin: 30 ymin: -31.03563 xmax: 30.81193 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 101\n",
- "Reading layer `30N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_060W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 117 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 110 ymin: 20 xmax: 120 ymax: 30\n",
+ "Bounding box: xmin: -60 ymin: -38.50041 xmax: -50.35626 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 102\n",
- "Reading layer `30N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_070W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 72 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -110 ymin: 20 xmax: -100 ymax: 30\n",
+ "Bounding box: xmin: -65.35211 ymin: -35.75808 xmax: -60 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 103\n",
- "Reading layer `30N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 257 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 21.93041 xmax: 129.7017 ymax: 30\n",
+ "Bounding box: xmin: -73.68683 ymin: -40 xmax: -70.43911 ymax: -32.19553\n",
"Geodetic CRS: WGS 84\n",
"[1] 104\n",
- "Reading layer `30N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 231 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -110.3231 ymin: 23.19801 xmax: -110 ymax: 29.98343\n",
+ "Bounding box: xmin: 114.9876 ymin: -35.12013 xmax: 120 ymax: -30.65452\n",
"Geodetic CRS: WGS 84\n",
"[1] 105\n",
- "Reading layer `30N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_160W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 22 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -159.7763 ymin: 20 xmax: -155.261 ymax: 22.22867\n",
+ "Bounding box: xmin: 121.5493 ymin: -33.83596 xmax: 122.8915 ymax: -32.22038\n",
"Geodetic CRS: WGS 84\n",
"[1] 106\n",
- "Reading layer `30N_170W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_170W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_130E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 104 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -160.232 ymin: 21.79785 xmax: -160.0829 ymax: 21.95526\n",
+ "Bounding box: xmin: 135.4764 ymin: -36.04805 xmax: 140 ymax: -32.44408\n",
"Geodetic CRS: WGS 84\n",
"[1] 107\n",
- "Reading layer `30S_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_140E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 254 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 18.31814 ymin: -34.73074 xmax: 20 ymax: -31.97183\n",
+ "Bounding box: xmin: 140 ymin: -40 xmax: 150 ymax: -30.01657\n",
"Geodetic CRS: WGS 84\n",
"[1] 108\n",
- "Reading layer `30S_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_020E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_150E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 254 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: -34.55675 xmax: 30 ymax: -30\n",
+ "Bounding box: xmin: 150 ymin: -37.25766 xmax: 153.2146 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 109\n",
- "Reading layer `30S_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_030E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_170E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: -31.26761 xmax: 30.90307 ymax: -30\n",
+ "Bounding box: xmin: 172.7506 ymin: -40 xmax: 178.5253 ymax: -34.41591\n",
"Geodetic CRS: WGS 84\n",
"[1] 110\n",
- "Reading layer `30S_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_060W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_000E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 217 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: -38.84838 xmax: -50.14913 ymax: -30\n",
+ "Bounding box: xmin: 0 ymin: 34.98757 xmax: 9.6686 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 111\n",
- "Reading layer `30S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_070W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_010E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 98 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -69.51947 ymin: -39.10522 xmax: -60 ymax: -30\n",
+ "Bounding box: xmin: 10.09114 ymin: 36.36288 xmax: 20 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 112\n",
- "Reading layer `30S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_010W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 312 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -73.67854 ymin: -40 xmax: -70.15742 ymax: -30\n",
+ "Bounding box: xmin: -9.461475 ymin: 30.71251 xmax: 0 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 113\n",
- "Reading layer `30S_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_020E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 437 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 114.9876 ymin: -35.12013 xmax: 120 ymax: -30\n",
+ "Bounding box: xmin: 20.1657 ymin: 35.04557 xmax: 30 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 114\n",
- "Reading layer `30S_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_120E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_030E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 219 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: -34.00994 xmax: 126.454 ymax: -31.92212\n",
+ "Bounding box: xmin: 30 ymin: 31.73157 xmax: 39.85915 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 115\n",
- "Reading layer `30S_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_130E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_040E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 132.1292 ymin: -37.41508 xmax: 140 ymax: -31.8807\n",
+ "Bounding box: xmin: 40.08285 ymin: 36.71914 xmax: 50 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 116\n",
- "Reading layer `30S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_140E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_050E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 234 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140 ymin: -40 xmax: 150 ymax: -30\n",
+ "Bounding box: xmin: 50 ymin: 35.88235 xmax: 56.7937 ymax: 37.80447\n",
"Geodetic CRS: WGS 84\n",
"[1] 117\n",
- "Reading layer `30S_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_150E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_060E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 130 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: -37.25766 xmax: 153.2146 ymax: -30\n",
+ "Bounding box: xmin: 68.01988 ymin: 32.45236 xmax: 70 ymax: 39.8343\n",
"Geodetic CRS: WGS 84\n",
"[1] 118\n",
- "Reading layer `30S_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_170E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_070E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 172.7341 ymin: -40 xmax: 178.5253 ymax: -34.41591\n",
+ "Bounding box: xmin: 70 ymin: 30 xmax: 80 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 119\n",
- "Reading layer `40N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_000E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_080E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 42 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 0 ymin: 34.43248 xmax: 10 ymax: 40\n",
+ "Bounding box: xmin: 80 ymin: 30 xmax: 81.80613 ymax: 30.20713\n",
"Geodetic CRS: WGS 84\n",
"[1] 120\n",
- "Reading layer `40N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 235 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 10.01657 ymin: 32.74234 xmax: 20 ymax: 40\n",
+ "Bounding box: xmin: -80 ymin: 32.70091 xmax: -74.13422 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 121\n",
- "Reading layer `40N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_090E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 244 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -9.78459 ymin: 30.10771 xmax: 0 ymax: 40\n",
+ "Bounding box: xmin: 92.95775 ymin: 30 xmax: 100 ymax: 38.79039\n",
"Geodetic CRS: WGS 84\n",
"[1] 122\n",
- "Reading layer `40N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_020E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_090W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 30.7208 xmax: 30 ymax: 40\n",
+ "Bounding box: xmin: -90 ymin: 30 xmax: -80 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 123\n",
- "Reading layer `40N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_030E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_100E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: 30.78708 xmax: 40 ymax: 40\n",
+ "Bounding box: xmin: 100 ymin: 30 xmax: 110 ymax: 38.55012\n",
"Geodetic CRS: WGS 84\n",
"[1] 124\n",
- "Reading layer `40N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_040E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_100W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 252 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 31.95526 xmax: 50 ymax: 40\n",
+ "Bounding box: xmin: -100 ymin: 30 xmax: -90 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 125\n",
- "Reading layer `40N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_050E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 50 ymin: 30.2237 xmax: 59.70174 ymax: 38.74068\n",
+ "Bounding box: xmin: 110 ymin: 30 xmax: 120 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 126\n",
- "Reading layer `40N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_060E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_110W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 272 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 62.17067 ymin: 31.02734 xmax: 70 ymax: 39.98343\n",
+ "Bounding box: xmin: -110 ymin: 30 xmax: -100.0911 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 127\n",
- "Reading layer `40N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_070E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 30 xmax: 80 ymax: 40\n",
+ "Bounding box: xmin: 120 ymin: 30 xmax: 130 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 128\n",
- "Reading layer `40N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_120W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 274 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 30 xmax: 81.86413 ymax: 30.39768\n",
+ "Bounding box: xmin: -120 ymin: 30.75394 xmax: -110 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 129\n",
- "Reading layer `40N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_130E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80 ymin: 32.61806 xmax: -74.11765 ymax: 40\n",
+ "Bounding box: xmin: 130 ymin: 30.23198 xmax: 140 ymax: 39.99171\n",
"Geodetic CRS: WGS 84\n",
"[1] 130\n",
- "Reading layer `40N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_130W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 92.75062 ymin: 30 xmax: 100 ymax: 39.38691\n",
+ "Bounding box: xmin: -123.9768 ymin: 34.4739 xmax: -120 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 131\n",
- "Reading layer `40N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_140E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 236 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 30 xmax: -80 ymax: 40\n",
+ "Bounding box: xmin: 140 ymin: 35.029 xmax: 142.0713 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 132\n",
- "Reading layer `40N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40S_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 30 xmax: 110 ymax: 39.53604\n",
+ "Bounding box: xmin: -75.65037 ymin: -50 xmax: -71.09362 ymax: -40\n",
"Geodetic CRS: WGS 84\n",
"[1] 133\n",
- "Reading layer `40N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 30 xmax: -90 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 134\n",
- "Reading layer `40N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 110 ymin: 30 xmax: 120 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 135\n",
- "Reading layer `40N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -110 ymin: 30 xmax: -100 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 136\n",
- "Reading layer `40N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 30 xmax: 130 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 137\n",
- "Reading layer `40N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -120 ymin: 30 xmax: -110 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 138\n",
- "Reading layer `40N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: 30.24027 xmax: 140 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 139\n",
- "Reading layer `40N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -123.9768 ymin: 33.9768 xmax: -120 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 140\n",
- "Reading layer `40N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_140E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 140 ymin: 35.03728 xmax: 142.0713 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 141\n",
- "Reading layer `40S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_070W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -69.10522 ymin: -46.19718 xmax: -67.24109 ymax: -45.26926\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 142\n",
- "Reading layer `40S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_080W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -75.65037 ymin: -50 xmax: -70.12428 ymax: -40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 143\n",
"Reading layer `40S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 252 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 143.8774 ymin: -43.63712 xmax: 148.4341 ymax: -40\n",
+ "Bounding box: xmin: 143.8774 ymin: -43.63712 xmax: 148.3761 ymax: -40\n",
"Geodetic CRS: WGS 84\n",
- "[1] 144\n",
+ "[1] 134\n",
"Reading layer `40S_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 166.4623 ymin: -47.28252 xmax: 170 ymax: -43.36371\n",
+ "Bounding box: xmin: 166.4623 ymin: -47.27423 xmax: 170 ymax: -43.36371\n",
"Geodetic CRS: WGS 84\n",
- "[1] 145\n",
+ "[1] 135\n",
"Reading layer `40S_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_170E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 170 ymin: -46.16404 xmax: 176.8848 ymax: -40\n",
+ "Bounding box: xmin: 170 ymin: -46.15576 xmax: 176.5617 ymax: -40\n",
"Geodetic CRS: WGS 84\n",
- "[1] 146\n",
+ "[1] 136\n",
"Reading layer `50N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 188 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 0 ymin: 40 xmax: 10 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 147\n",
+ "[1] 137\n",
"Reading layer `50N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 40 xmax: 20 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 148\n",
+ "[1] 138\n",
"Reading layer `50N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 157 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -9.279205 ymin: 40 xmax: 0 ymax: 50\n",
+ "Bounding box: xmin: -9.229495 ymin: 40 xmax: 0 ymax: 49.20464\n",
"Geodetic CRS: WGS 84\n",
- "[1] 149\n",
+ "[1] 139\n",
"Reading layer `50N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 26 features and 1 field\n",
+ "Simple feature collection with 702 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: 40 xmax: 30 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 150\n",
+ "[1] 140\n",
"Reading layer `50N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 482 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: 40 xmax: 40 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 151\n",
+ "[1] 141\n",
"Reading layer `50N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 21 features and 1 field\n",
+ "Simple feature collection with 694 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 40 xmax: 49.22949 ymax: 50\n",
+ "Bounding box: xmin: 40 ymin: 40 xmax: 49.18807 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 152\n",
- "Reading layer `50N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_050E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 51.07705 ymin: 48.92295 xmax: 58.65783 ymax: 50\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 153\n",
+ "[1] 142\n",
"Reading layer `50N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 12 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 65.90721 ymin: 40.09942 xmax: 70 ymax: 43.91052\n",
+ "Bounding box: xmin: 69.85087 ymin: 41.0522 xmax: 70 ymax: 41.60729\n",
"Geodetic CRS: WGS 84\n",
- "[1] 154\n",
+ "[1] 143\n",
"Reading layer `50N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: 45.89892 xmax: -52.64292 ymax: 50\n",
+ "Bounding box: xmin: -60 ymin: 45.90721 xmax: -52.64292 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 155\n",
+ "[1] 144\n",
"Reading layer `50N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 244 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 40 xmax: 80 ymax: 49.91715\n",
+ "Bounding box: xmin: 70.00829 ymin: 40 xmax: 80 ymax: 49.8343\n",
"Geodetic CRS: WGS 84\n",
- "[1] 156\n",
+ "[1] 145\n",
"Reading layer `50N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 266 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: 41.25104 xmax: -60 ymax: 50\n",
+ "Bounding box: xmin: -70 ymin: 41.72328 xmax: -60 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 157\n",
+ "[1] 146\n",
"Reading layer `50N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 41.37531 xmax: 90 ymax: 50\n",
+ "Bounding box: xmin: 80 ymin: 42.49379 xmax: 90 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 158\n",
+ "[1] 147\n",
"Reading layer `50N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 286 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -80 ymin: 40 xmax: -70 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 159\n",
+ "[1] 148\n",
"Reading layer `50N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 90 ymin: 42.89975 xmax: 100 ymax: 50\n",
+ "Bounding box: xmin: 90 ymin: 43.27258 xmax: 100 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 160\n",
+ "[1] 149\n",
"Reading layer `50N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 277 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -90 ymin: 40 xmax: -80 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 161\n",
+ "[1] 150\n",
"Reading layer `50N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 277 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 40.62138 xmax: 110 ymax: 50\n",
+ "Bounding box: xmin: 100 ymin: 46.52858 xmax: 110 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 162\n",
+ "[1] 151\n",
"Reading layer `50N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -100 ymin: 40 xmax: -90 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 163\n",
+ "[1] 152\n",
"Reading layer `50N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 240 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 40 xmax: 120 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 164\n",
+ "[1] 153\n",
"Reading layer `50N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -110 ymin: 40 xmax: -100 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 165\n",
+ "[1] 154\n",
"Reading layer `50N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: 40 xmax: 130 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 166\n",
+ "[1] 155\n",
"Reading layer `50N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -120 ymin: 40 xmax: -110 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 167\n",
+ "[1] 156\n",
"Reading layer `50N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: 40 xmax: 140 ymax: 50\n",
+ "Bounding box: xmin: 130 ymin: 40.38111 xmax: 140 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 168\n",
+ "[1] 157\n",
"Reading layer `50N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 270 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -127.2411 ymin: 40 xmax: -120 ymax: 50\n",
+ "Bounding box: xmin: -127.2245 ymin: 40 xmax: -120 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 169\n",
+ "[1] 158\n",
"Reading layer `50N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: 40 xmax: 150 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 170\n",
+ "[1] 159\n",
"Reading layer `50N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 130 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: 45.83264 xmax: 154.8964 ymax: 49.6106\n",
+ "Bounding box: xmin: 150 ymin: 45.93206 xmax: 154.8302 ymax: 49.59403\n",
"Geodetic CRS: WGS 84\n",
- "[1] 171\n",
+ "[1] 160\n",
"Reading layer `50S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 247 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: -55.87407 xmax: -63.81939 ymax: -53.34714\n",
+ "Bounding box: xmin: -70 ymin: -55.87407 xmax: -63.85253 ymax: -53.58741\n",
"Geodetic CRS: WGS 84\n",
- "[1] 172\n",
+ "[1] 161\n",
"Reading layer `50S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 253 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -75.50953 ymin: -55.17813 xmax: -70 ymax: -50\n",
+ "Bounding box: xmin: -75.49296 ymin: -54.76388 xmax: -70 ymax: -50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 173\n",
+ "[1] 162\n",
"Reading layer `60N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 0 ymin: 50 xmax: 10 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 174\n",
+ "[1] 163\n",
"Reading layer `60N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 124 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 50 xmax: 20 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 175\n",
+ "[1] 164\n",
"Reading layer `60N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 9 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -10 ymin: 50.00829 xmax: 0 ymax: 58.62469\n",
+ "Bounding box: xmin: -1.913836 ymin: 50.71251 xmax: 0 ymax: 51.8227\n",
"Geodetic CRS: WGS 84\n",
- "[1] 176\n",
+ "[1] 165\n",
"Reading layer `60N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 252 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 50 xmax: 30 ymax: 60\n",
+ "Bounding box: xmin: 20 ymin: 50 xmax: 30 ymax: 59.92543\n",
"Geodetic CRS: WGS 84\n",
- "[1] 177\n",
- "Reading layer `60N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -10.34797 ymin: 51.59901 xmax: -10 ymax: 53.60398\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 178\n",
+ "[1] 166\n",
"Reading layer `60N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: 50 xmax: 40 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 179\n",
+ "[1] 167\n",
"Reading layer `60N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 40 ymin: 50 xmax: 50 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 180\n",
+ "[1] 168\n",
"Reading layer `60N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_050E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 30 features and 1 field\n",
+ "Simple feature collection with 2251 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 50 ymin: 50.01657 xmax: 60 ymax: 60\n",
+ "Bounding box: xmin: 50 ymin: 51.20133 xmax: 60 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 181\n",
+ "[1] 169\n",
"Reading layer `60N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 16 features and 1 field\n",
+ "Simple feature collection with 287 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 60 ymin: 50.31483 xmax: 70 ymax: 60\n",
+ "Bounding box: xmin: 60 ymin: 52.2121 xmax: 70 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 182\n",
+ "[1] 170\n",
"Reading layer `60N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 262 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: 50 xmax: -55.44325 ymax: 55.26926\n",
+ "Bounding box: xmin: -60 ymin: 50 xmax: -55.4681 ymax: 55.10356\n",
"Geodetic CRS: WGS 84\n",
- "[1] 183\n",
+ "[1] 171\n",
"Reading layer `60N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 50.04143 xmax: 80 ymax: 60\n",
+ "Bounding box: xmin: 70 ymin: 50.53024 xmax: 80 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 184\n",
+ "[1] 172\n",
"Reading layer `60N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 263 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: 50 xmax: -60 ymax: 59.17978\n",
+ "Bounding box: xmin: -70 ymin: 50 xmax: -60 ymax: 58.92295\n",
"Geodetic CRS: WGS 84\n",
- "[1] 185\n",
+ "[1] 173\n",
"Reading layer `60N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 288 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 80 ymin: 50 xmax: 90 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 186\n",
+ "[1] 174\n",
"Reading layer `60N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 266 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80 ymin: 50 xmax: -70 ymax: 59.15493\n",
+ "Bounding box: xmin: -80 ymin: 50 xmax: -70 ymax: 58.22701\n",
"Geodetic CRS: WGS 84\n",
- "[1] 187\n",
+ "[1] 175\n",
"Reading layer `60N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 90 ymin: 50 xmax: 100 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 188\n",
+ "[1] 176\n",
"Reading layer `60N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 50 xmax: -80 ymax: 56.96769\n",
+ "Bounding box: xmin: -90 ymin: 50 xmax: -80 ymax: 56.7937\n",
"Geodetic CRS: WGS 84\n",
- "[1] 189\n",
+ "[1] 177\n",
"Reading layer `60N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 278 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 100 ymin: 50 xmax: 110 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 190\n",
+ "[1] 178\n",
"Reading layer `60N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 285 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 50 xmax: -90 ymax: 60\n",
+ "Bounding box: xmin: -100 ymin: 50 xmax: -90 ymax: 59.71831\n",
"Geodetic CRS: WGS 84\n",
- "[1] 191\n",
+ "[1] 179\n",
"Reading layer `60N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 50 xmax: 120 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 192\n",
+ "[1] 180\n",
"Reading layer `60N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -110 ymin: 50 xmax: -100 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 193\n",
+ "[1] 181\n",
"Reading layer `60N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 291 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: 50 xmax: 130 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 194\n",
+ "[1] 182\n",
"Reading layer `60N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -120 ymin: 50 xmax: -110 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 195\n",
+ "[1] 183\n",
"Reading layer `60N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 287 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 130 ymin: 50 xmax: 140 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 196\n",
+ "[1] 184\n",
"Reading layer `60N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -130 ymin: 50 xmax: -120 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 197\n",
+ "[1] 185\n",
"Reading layer `60N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: 50 xmax: 150 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 198\n",
+ "[1] 186\n",
"Reading layer `60N_140W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 268 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -140 ymin: 51.94698 xmax: -130 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 199\n",
+ "[1] 187\n",
"Reading layer `60N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: 50.04971 xmax: 160 ymax: 60\n",
+ "Bounding box: xmin: 150 ymin: 50.058 xmax: 160 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 200\n",
+ "[1] 188\n",
"Reading layer `60N_150W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 183 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -150 ymin: 59.66031 xmax: -140 ymax: 60\n",
+ "Bounding box: xmin: -149.5692 ymin: 59.69345 xmax: -140 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 201\n",
+ "[1] 189\n",
"Reading layer `60N_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 264 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: 53.11516 xmax: 166.4374 ymax: 60\n",
+ "Bounding box: xmin: 160 ymin: 53.18144 xmax: 165.1367 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 202\n",
+ "[1] 190\n",
"Reading layer `60N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -155.8161 ymin: 57.42336 xmax: -150 ymax: 60\n",
+ "Bounding box: xmin: -155.0041 ymin: 57.50621 xmax: -150.116 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 203\n",
+ "[1] 191\n",
"Reading layer `70N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 4.813587 ymin: 60 xmax: 10 ymax: 63.89395\n",
+ "Bounding box: xmin: 5.086993 ymin: 60 xmax: 10 ymax: 63.86081\n",
"Geodetic CRS: WGS 84\n",
- "[1] 204\n",
+ "[1] 192\n",
"Reading layer `70N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 276 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 60 xmax: 20 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 205\n",
+ "[1] 193\n",
"Reading layer `70N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: 60 xmax: 30 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 206\n",
+ "[1] 194\n",
"Reading layer `70N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 290 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: 60 xmax: 40 ymax: 69.76802\n",
+ "Bounding box: xmin: 30 ymin: 60 xmax: 40 ymax: 69.71002\n",
"Geodetic CRS: WGS 84\n",
- "[1] 207\n",
+ "[1] 195\n",
"Reading layer `70N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 60 xmax: 50 ymax: 67.16653\n",
+ "Bounding box: xmin: 40 ymin: 60 xmax: 50 ymax: 67.14996\n",
"Geodetic CRS: WGS 84\n",
- "[1] 208\n",
+ "[1] 196\n",
"Reading layer `70N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_050E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 976 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 50 ymin: 60 xmax: 60 ymax: 67.39022\n",
"Geodetic CRS: WGS 84\n",
- "[1] 209\n",
+ "[1] 197\n",
"Reading layer `70N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_060E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 514 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 60 ymin: 60 xmax: 70 ymax: 67.15824\n",
+ "Bounding box: xmin: 60 ymin: 60 xmax: 70 ymax: 67.10853\n",
"Geodetic CRS: WGS 84\n",
- "[1] 210\n",
+ "[1] 198\n",
"Reading layer `70N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 268 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 60 xmax: 80 ymax: 66.38774\n",
+ "Bounding box: xmin: 70 ymin: 60 xmax: 80 ymax: 66.39602\n",
"Geodetic CRS: WGS 84\n",
- "[1] 211\n",
+ "[1] 199\n",
"Reading layer `70N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 60 xmax: 90 ymax: 69.74316\n",
+ "Bounding box: xmin: 80 ymin: 60 xmax: 90 ymax: 69.63546\n",
"Geodetic CRS: WGS 84\n",
- "[1] 212\n",
+ "[1] 200\n",
"Reading layer `70N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 90 ymin: 60 xmax: 100 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 213\n",
+ "[1] 201\n",
"Reading layer `70N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 282 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 100 ymin: 60 xmax: 110 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 214\n",
- "Reading layer `70N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 60 xmax: -95.3024 ymax: 62.72577\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 215\n",
+ "[1] 202\n",
"Reading layer `70N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 288 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 60 xmax: 120 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 216\n",
+ "[1] 203\n",
"Reading layer `70N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 161 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -110 ymin: 60 xmax: -100 ymax: 64.37448\n",
+ "Bounding box: xmin: -110 ymin: 60 xmax: -101.7481 ymax: 62.79205\n",
"Geodetic CRS: WGS 84\n",
- "[1] 217\n",
+ "[1] 204\n",
"Reading layer `70N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: 60 xmax: 130 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 218\n",
+ "[1] 205\n",
"Reading layer `70N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 254 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -120 ymin: 60 xmax: -110 ymax: 67.14167\n",
+ "Bounding box: xmin: -120 ymin: 60 xmax: -110 ymax: 65.9652\n",
"Geodetic CRS: WGS 84\n",
- "[1] 219\n",
+ "[1] 206\n",
"Reading layer `70N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: 60 xmax: 140 ymax: 70\n",
+ "Bounding box: xmin: 130 ymin: 60 xmax: 140 ymax: 69.89229\n",
"Geodetic CRS: WGS 84\n",
- "[1] 220\n",
+ "[1] 207\n",
"Reading layer `70N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 256 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -130 ymin: 60 xmax: -120 ymax: 68.7821\n",
+ "Bounding box: xmin: -130 ymin: 60 xmax: -120 ymax: 68.285\n",
"Geodetic CRS: WGS 84\n",
- "[1] 221\n",
+ "[1] 208\n",
"Reading layer `70N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: 60 xmax: 150 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 222\n",
+ "[1] 209\n",
"Reading layer `70N_140W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -140 ymin: 60 xmax: -130 ymax: 68.99751\n",
+ "Bounding box: xmin: -140 ymin: 60 xmax: -130 ymax: 68.63297\n",
"Geodetic CRS: WGS 84\n",
- "[1] 223\n",
+ "[1] 210\n",
"Reading layer `70N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 282 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: 60 xmax: 160 ymax: 69.79287\n",
+ "Bounding box: xmin: 150 ymin: 60 xmax: 160 ymax: 69.46147\n",
"Geodetic CRS: WGS 84\n",
- "[1] 224\n",
+ "[1] 211\n",
"Reading layer `70N_150W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -150 ymin: 60 xmax: -140 ymax: 68.49213\n",
+ "Bounding box: xmin: -150 ymin: 60 xmax: -140 ymax: 68.26015\n",
"Geodetic CRS: WGS 84\n",
- "[1] 225\n",
+ "[1] 212\n",
"Reading layer `70N_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: 60 xmax: 170 ymax: 69.06379\n",
+ "Bounding box: xmin: 160 ymin: 60 xmax: 170 ymax: 69.02237\n",
"Geodetic CRS: WGS 84\n",
- "[1] 226\n",
+ "[1] 213\n",
"Reading layer `70N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -160 ymin: 60 xmax: -150 ymax: 67.28252\n",
"Geodetic CRS: WGS 84\n",
- "[1] 227\n",
+ "[1] 214\n",
"Reading layer `70N_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 77 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 170 ymin: 60.06628 xmax: 178.7572 ymax: 67.46479\n",
+ "Bounding box: xmin: 170 ymin: 60.57995 xmax: 175.8244 ymax: 65.72494\n",
"Geodetic CRS: WGS 84\n",
- "[1] 228\n",
+ "[1] 215\n",
"Reading layer `70N_170W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 234 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -163.3306 ymin: 61.657 xmax: -160 ymax: 65.62552\n",
+ "Bounding box: xmin: -162.9743 ymin: 61.657 xmax: -160 ymax: 65.57581\n",
"Geodetic CRS: WGS 84\n",
- "[1] 229\n",
+ "[1] 216\n",
"Reading layer `80N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 8 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 18.66611 ymin: 70 xmax: 19.99171 ymax: 70.27341\n",
+ "Bounding box: xmin: 19.06379 ymin: 70 xmax: 19.65203 ymax: 70.00829\n",
"Geodetic CRS: WGS 84\n",
- "[1] 230\n",
+ "[1] 217\n",
"Reading layer `80N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_020E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 70 xmax: 29.91715 ymax: 71.07705\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 231\n",
- "Reading layer `80N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 175 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30.04143 ymin: 70.09114 xmax: 30.31483 ymax: 70.48882\n",
+ "Bounding box: xmin: 21.26761 ymin: 70 xmax: 28.69925 ymax: 70.48053\n",
"Geodetic CRS: WGS 84\n",
- "[1] 232\n",
+ "[1] 218\n",
"Reading layer `80N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 251 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 93.16487 ymin: 70 xmax: 100 ymax: 71.97183\n",
+ "Bounding box: xmin: 93.36371 ymin: 70 xmax: 100 ymax: 71.96355\n",
"Geodetic CRS: WGS 84\n",
- "[1] 233\n",
+ "[1] 219\n",
"Reading layer `80N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 192 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 70 xmax: 109.9917 ymax: 71.91384\n",
+ "Bounding box: xmin: 100 ymin: 70 xmax: 106.9677 ymax: 71.61558\n",
"Geodetic CRS: WGS 84\n",
- "[1] 234\n",
+ "[1] 220\n",
"Reading layer `80N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 4 features and 1 field\n",
+ "Simple feature collection with 113 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 110.0083 ymin: 70 xmax: 120 ymax: 72.16239\n",
+ "Bounding box: xmin: 110.8285 ymin: 70 xmax: 120 ymax: 71.25932\n",
"Geodetic CRS: WGS 84\n",
- "[1] 235\n",
+ "[1] 221\n",
"Reading layer `80N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 228 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 70 xmax: 128.8235 ymax: 72.2121\n",
+ "Bounding box: xmin: 120 ymin: 70 xmax: 128.5087 ymax: 72.07954\n",
"Geodetic CRS: WGS 84\n",
- "[1] 236\n",
+ "[1] 222\n",
"Reading layer `80N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 21 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 131.9387 ymin: 70 xmax: 139.9669 ymax: 70.86164\n",
+ "Bounding box: xmin: 137.6388 ymin: 70 xmax: 139.4615 ymax: 70.28998\n",
"Geodetic CRS: WGS 84\n",
- "[1] 237\n",
+ "[1] 223\n",
"Reading layer `80N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 6 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140.0166 ymin: 70 xmax: 148.6164 ymax: 70.62966\n",
- "Geodetic CRS: WGS 84\n",
- "Writing layer `IPCC_classes_globe' to data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/IPCC_classes_globe.gpkg' using driver `GPKG'\n",
- "Writing 2146 features with 1 fields and geometry type Multi Polygon.\n"
+ "Bounding box: xmin: 143.4548 ymin: 70 xmax: 147.5891 ymax: 70.04143\n",
+ "Geodetic CRS: WGS 84\n"
]
}
],
"source": [
"################## MERGE ALL VECTOR FILES INTO ONE VECTOR FILE FOR THE GLOBE ###############\n",
"\n",
- "dataFiles = list.files('/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG',pattern=\"*.gpkg$\", recursive=F,full.names=TRUE)\n",
+ "dataFiles = list.files('/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG',pattern=\"*.gpkg$\", recursive=F,full.names=TRUE)\n",
"listOfShp = list()\n",
"print(dataFiles)\n",
"\n",
@@ -2434,14 +2492,14 @@
"}\n",
"\n",
"gedi_l4b_wwfEcozones = do.call(what = sf:::rbind.sf, args=listOfShp)\n",
- "st_write(gedi_l4b_wwfEcozones, \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/IPCC_classes_globe.gpkg\", driver = \"GPKG\", delete_layer = F)\n",
+ "st_write(gedi_l4b_wwfEcozones, \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/IPCC_classes_globe_v6.gpkg\", driver = \"GPKG\", delete_layer = F)\n",
"\n",
"### NOW, IF ALL GOOD, THE FEATURES ARE \"DISSOLVED\" BEFORE RUNNING THE L4B CODE #################"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 53,
"id": "b6623875-5c69-443f-a9ff-08a9ae08295a",
"metadata": {},
"outputs": [
@@ -2463,19 +2521,19 @@
"text": [
"\u001b[1m\u001b[22m`summarise()` has grouped output by 'id'. You can override using the `.groups`\n",
"argument.\n",
- "Warning message in ggplot2::annotate(\"text\", x = rep(max(data$id), 5), y = c(0, :\n",
- "“\u001b[1m\u001b[22mIgnoring unknown parameters: `linewidth`â€\n",
- "Warning message in geom_text(data = label_data, aes(x = id, y = tot + 10, label = individual, :\n",
- "“\u001b[1m\u001b[22mIgnoring unknown parameters: `linewidth`â€\n",
"Warning message:\n",
- "“\u001b[1m\u001b[22mRemoved 4 rows containing missing values (`geom_text()`).â€\n",
+ "“\u001b[1m\u001b[22mRemoved 24 rows containing missing values (`position_stack()`).â€\n",
+ "Warning message:\n",
+ "“\u001b[1m\u001b[22mRemoved 10 rows containing missing values (`geom_text()`).â€\n",
+ "Warning message:\n",
+ "“\u001b[1m\u001b[22mRemoved 24 rows containing missing values (`position_stack()`).â€\n",
"Warning message:\n",
- "“\u001b[1m\u001b[22mRemoved 4 rows containing missing values (`geom_text()`).â€\n"
+ "“\u001b[1m\u001b[22mRemoved 10 rows containing missing values (`geom_text()`).â€\n"
]
},
{
"data": {
- "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\nAElFTkSuQmCC",
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\nEVZAvxJ5Lg0AAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
@@ -2490,18 +2548,6 @@
}
],
"source": [
- "packages <- c(\"viridis\",\"tidyverse\")\n",
- "# packages <- c(\"raster\", \"rgdal\", \"terra\", \"sf\", \"sp\")\n",
- "package.check <- lapply(packages, FUN = function(x) {\n",
- " if (!require(x, character.only = TRUE)) {\n",
- " # install.packages(x, dependencies = TRUE)\n",
- " library(x, character.only = TRUE, quietly=TRUE)\n",
- " library(geojsonio)\n",
- " }\n",
- "})\n",
- "tidyverse_conflicts(only = NULL)\n",
- "\n",
- "\n",
"# Create dataset\n",
"data <- data.frame(\n",
" individual=paste( \"Mister \", seq(1,60), sep=\"\"),\n",
@@ -2517,9 +2563,9 @@
"# Set a number of 'empty bar' to add at the end of each group\n",
"empty_bar <- 2\n",
"nObsType <- nlevels(as.factor(data$observation))\n",
- "to_add <- data.frame( matrix(NA, empty_bar*nlevels(data$group)*nObsType, ncol(data)) )\n",
+ "to_add <- data.frame( matrix(NA, empty_bar*nlevels(as.factor(data$group))*nObsType, ncol(data)) )\n",
"colnames(to_add) <- colnames(data)\n",
- "to_add$group <- rep(levels(data$group), each=empty_bar*nObsType )\n",
+ "to_add$group <- rep(levels(as.factor(data$group)), each=empty_bar*nObsType )\n",
"data <- rbind(data, to_add)\n",
"data <- data %>% arrange(group, individual)\n",
"data$id <- rep( seq(1, nrow(data)/nObsType) , each=nObsType)\n",
@@ -2552,14 +2598,14 @@
" scale_fill_viridis(discrete=TRUE) +\n",
" \n",
" # Add a val=100/75/50/25 lines. I do it at the beginning to make sur barplots are OVER it.\n",
- " geom_segment(data=grid_data, aes(x = end, y = 0, xend = start, yend = 0), colour = \"grey\", alpha=1, linewidth=0.3 , inherit.aes = FALSE ) +\n",
- " geom_segment(data=grid_data, aes(x = end, y = 50, xend = start, yend = 50), colour = \"grey\", alpha=1, linewidth=0.3 , inherit.aes = FALSE ) +\n",
- " geom_segment(data=grid_data, aes(x = end, y = 100, xend = start, yend = 100), colour = \"grey\", alpha=1, linewidth=0.3 , inherit.aes = FALSE ) +\n",
- " geom_segment(data=grid_data, aes(x = end, y = 150, xend = start, yend = 150), colour = \"grey\", alpha=1, linewidth=0.3 , inherit.aes = FALSE ) +\n",
- " geom_segment(data=grid_data, aes(x = end, y = 200, xend = start, yend = 200), colour = \"grey\", alpha=1, linewidth=0.3 , inherit.aes = FALSE ) +\n",
+ " geom_segment(data=grid_data, aes(x = end, y = 0, xend = start, yend = 0), colour = \"grey\", alpha=1, size=0.3 , inherit.aes = FALSE ) +\n",
+ " geom_segment(data=grid_data, aes(x = end, y = 50, xend = start, yend = 50), colour = \"grey\", alpha=1, size=0.3 , inherit.aes = FALSE ) +\n",
+ " geom_segment(data=grid_data, aes(x = end, y = 100, xend = start, yend = 100), colour = \"grey\", alpha=1, size=0.3 , inherit.aes = FALSE ) +\n",
+ " geom_segment(data=grid_data, aes(x = end, y = 150, xend = start, yend = 150), colour = \"grey\", alpha=1, size=0.3 , inherit.aes = FALSE ) +\n",
+ " geom_segment(data=grid_data, aes(x = end, y = 200, xend = start, yend = 200), colour = \"grey\", alpha=1, size=0.3 , inherit.aes = FALSE ) +\n",
" \n",
" # Add text showing the value of each 100/75/50/25 lines\n",
- " ggplot2::annotate(\"text\", x = rep(max(data$id),5), y = c(0, 50, 100, 150, 200), label = c(\"0\", \"50\", \"100\", \"150\", \"200\") , color=\"grey\", linewidth=6 , angle=0, fontface=\"bold\", hjust=1) +\n",
+ " ggplot2::annotate(\"text\", x = rep(max(data$id),5), y = c(0, 50, 100, 150, 200), label = c(\"0\", \"50\", \"100\", \"150\", \"200\") , color=\"grey\", size=6 , angle=0, fontface=\"bold\", hjust=1) +\n",
" \n",
" ylim(-150,max(label_data$tot, na.rm=T)) +\n",
" theme_minimal() +\n",
@@ -2573,11 +2619,11 @@
" coord_polar() +\n",
" \n",
" # Add labels on top of each bar\n",
- " geom_text(data=label_data, aes(x=id, y=tot+10, label=individual, hjust=hjust), color=\"black\", fontface=\"bold\",alpha=0.6, linewidth=5, angle= label_data$angle, inherit.aes = FALSE ) +\n",
+ " geom_text(data=label_data, aes(x=id, y=tot+10, label=individual, hjust=hjust), color=\"black\", fontface=\"bold\",alpha=0.6, size=5, angle= label_data$angle, inherit.aes = FALSE ) +\n",
" \n",
" # Add base line information\n",
- " geom_segment(data=base_data, aes(x = start, y = -5, xend = end, yend = -5), colour = \"black\", alpha=0.8, linewidth=0.6 , inherit.aes = FALSE ) #+\n",
- " # geom_text(data=base_data, aes(x = title, y = -18, label=group), hjust=c(1,1,0,0), colour = \"black\", alpha=0.8, linewidth=4, fontface=\"bold\", inherit.aes = FALSE)\n",
+ " geom_segment(data=base_data, aes(x = start, y = -5, xend = end, yend = -5), colour = \"black\", alpha=0.8, size=0.6 , inherit.aes = FALSE ) +\n",
+ " geom_text(data=base_data, aes(x = title, y = -18, label=group), hjust=c(1,1,0,0), colour = \"black\", alpha=0.8, size=4, fontface=\"bold\", inherit.aes = FALSE)\n",
"\n",
"\n",
"# Save at png\n",
@@ -2587,8 +2633,8 @@
},
{
"cell_type": "code",
- "execution_count": 130,
- "id": "b4d0e1e8-9c73-4f82-8281-3521f97ac44c",
+ "execution_count": 55,
+ "id": "651dbc32-9063-4581-a4a8-2c5861590a9d",
"metadata": {
"tags": []
},
@@ -2597,277 +2643,277 @@
"data": {
"text/html": [
"<table class=\"dataframe\">\n",
- "<caption>A data.frame: 180 × 5</caption>\n",
+ "<caption>A tibble: 61 × 2</caption>\n",
"<thead>\n",
- "\t<tr><th scope=col>individual</th><th scope=col>group</th><th scope=col>observation</th><th scope=col>value</th><th scope=col>id</th></tr>\n",
- "\t<tr><th scope=col><chr></th><th scope=col><chr></th><th scope=col><chr></th><th scope=col><int></th><th scope=col><int></th></tr>\n",
+ "\t<tr><th scope=col>individual</th><th scope=col>tot</th></tr>\n",
+ "\t<tr><th scope=col><chr></th><th scope=col><int></th></tr>\n",
"</thead>\n",
"<tbody>\n",
- "\t<tr><td>Mister 1 </td><td>A</td><td>value1</td><td> 98</td><td> 1</td></tr>\n",
- "\t<tr><td>Mister 1 </td><td>A</td><td>value2</td><td> 60</td><td> 1</td></tr>\n",
- "\t<tr><td>Mister 1 </td><td>A</td><td>value3</td><td> 61</td><td> 1</td></tr>\n",
- "\t<tr><td>Mister 10</td><td>A</td><td>value1</td><td>100</td><td> 2</td></tr>\n",
- "\t<tr><td>Mister 10</td><td>A</td><td>value2</td><td> 31</td><td> 2</td></tr>\n",
- "\t<tr><td>Mister 10</td><td>A</td><td>value3</td><td> 65</td><td> 2</td></tr>\n",
- "\t<tr><td>Mister 2 </td><td>A</td><td>value1</td><td> 25</td><td> 3</td></tr>\n",
- "\t<tr><td>Mister 2 </td><td>A</td><td>value2</td><td> 90</td><td> 3</td></tr>\n",
- "\t<tr><td>Mister 2 </td><td>A</td><td>value3</td><td> 82</td><td> 3</td></tr>\n",
- "\t<tr><td>Mister 3 </td><td>A</td><td>value1</td><td> 76</td><td> 4</td></tr>\n",
- "\t<tr><td>Mister 3 </td><td>A</td><td>value2</td><td> 59</td><td> 4</td></tr>\n",
- "\t<tr><td>Mister 3 </td><td>A</td><td>value3</td><td> 14</td><td> 4</td></tr>\n",
- "\t<tr><td>Mister 4 </td><td>A</td><td>value1</td><td> 74</td><td> 5</td></tr>\n",
- "\t<tr><td>Mister 4 </td><td>A</td><td>value2</td><td> 27</td><td> 5</td></tr>\n",
- "\t<tr><td>Mister 4 </td><td>A</td><td>value3</td><td> 24</td><td> 5</td></tr>\n",
- "\t<tr><td>Mister 5 </td><td>A</td><td>value1</td><td>100</td><td> 6</td></tr>\n",
- "\t<tr><td>Mister 5 </td><td>A</td><td>value2</td><td> 99</td><td> 6</td></tr>\n",
- "\t<tr><td>Mister 5 </td><td>A</td><td>value3</td><td> 25</td><td> 6</td></tr>\n",
- "\t<tr><td>Mister 6 </td><td>A</td><td>value1</td><td> 88</td><td> 7</td></tr>\n",
- "\t<tr><td>Mister 6 </td><td>A</td><td>value2</td><td> 45</td><td> 7</td></tr>\n",
- "\t<tr><td>Mister 6 </td><td>A</td><td>value3</td><td> 12</td><td> 7</td></tr>\n",
- "\t<tr><td>Mister 7 </td><td>A</td><td>value1</td><td> 65</td><td> 8</td></tr>\n",
- "\t<tr><td>Mister 7 </td><td>A</td><td>value2</td><td> 74</td><td> 8</td></tr>\n",
- "\t<tr><td>Mister 7 </td><td>A</td><td>value3</td><td> 24</td><td> 8</td></tr>\n",
- "\t<tr><td>Mister 8 </td><td>A</td><td>value1</td><td> 16</td><td> 9</td></tr>\n",
- "\t<tr><td>Mister 8 </td><td>A</td><td>value2</td><td> 14</td><td> 9</td></tr>\n",
- "\t<tr><td>Mister 8 </td><td>A</td><td>value3</td><td> 19</td><td> 9</td></tr>\n",
- "\t<tr><td>Mister 9 </td><td>A</td><td>value1</td><td> 16</td><td>10</td></tr>\n",
- "\t<tr><td>Mister 9 </td><td>A</td><td>value2</td><td> 41</td><td>10</td></tr>\n",
- "\t<tr><td>Mister 9 </td><td>A</td><td>value3</td><td> 94</td><td>10</td></tr>\n",
- "\t<tr><td>â‹®</td><td>â‹®</td><td>â‹®</td><td>â‹®</td><td>â‹®</td></tr>\n",
- "\t<tr><td>Mister 51</td><td>C</td><td>value1</td><td> 82</td><td>51</td></tr>\n",
- "\t<tr><td>Mister 51</td><td>C</td><td>value2</td><td> 89</td><td>51</td></tr>\n",
- "\t<tr><td>Mister 51</td><td>C</td><td>value3</td><td> 58</td><td>51</td></tr>\n",
- "\t<tr><td>Mister 52</td><td>C</td><td>value1</td><td> 28</td><td>52</td></tr>\n",
- "\t<tr><td>Mister 52</td><td>C</td><td>value2</td><td> 88</td><td>52</td></tr>\n",
- "\t<tr><td>Mister 52</td><td>C</td><td>value3</td><td> 81</td><td>52</td></tr>\n",
- "\t<tr><td>Mister 53</td><td>C</td><td>value1</td><td> 58</td><td>53</td></tr>\n",
- "\t<tr><td>Mister 53</td><td>C</td><td>value2</td><td> 51</td><td>53</td></tr>\n",
- "\t<tr><td>Mister 53</td><td>C</td><td>value3</td><td> 86</td><td>53</td></tr>\n",
- "\t<tr><td>Mister 54</td><td>C</td><td>value1</td><td>100</td><td>54</td></tr>\n",
- "\t<tr><td>Mister 54</td><td>C</td><td>value2</td><td> 89</td><td>54</td></tr>\n",
- "\t<tr><td>Mister 54</td><td>C</td><td>value3</td><td> 50</td><td>54</td></tr>\n",
- "\t<tr><td>Mister 55</td><td>D</td><td>value1</td><td> 75</td><td>55</td></tr>\n",
- "\t<tr><td>Mister 55</td><td>D</td><td>value2</td><td> 77</td><td>55</td></tr>\n",
- "\t<tr><td>Mister 55</td><td>D</td><td>value3</td><td> 57</td><td>55</td></tr>\n",
- "\t<tr><td>Mister 56</td><td>D</td><td>value1</td><td> 63</td><td>56</td></tr>\n",
- "\t<tr><td>Mister 56</td><td>D</td><td>value2</td><td> 84</td><td>56</td></tr>\n",
- "\t<tr><td>Mister 56</td><td>D</td><td>value3</td><td> 92</td><td>56</td></tr>\n",
- "\t<tr><td>Mister 57</td><td>D</td><td>value1</td><td> 79</td><td>57</td></tr>\n",
- "\t<tr><td>Mister 57</td><td>D</td><td>value2</td><td> 65</td><td>57</td></tr>\n",
- "\t<tr><td>Mister 57</td><td>D</td><td>value3</td><td> 77</td><td>57</td></tr>\n",
- "\t<tr><td>Mister 58</td><td>D</td><td>value1</td><td> 27</td><td>58</td></tr>\n",
- "\t<tr><td>Mister 58</td><td>D</td><td>value2</td><td> 62</td><td>58</td></tr>\n",
- "\t<tr><td>Mister 58</td><td>D</td><td>value3</td><td> 85</td><td>58</td></tr>\n",
- "\t<tr><td>Mister 59</td><td>D</td><td>value1</td><td> 70</td><td>59</td></tr>\n",
- "\t<tr><td>Mister 59</td><td>D</td><td>value2</td><td> 80</td><td>59</td></tr>\n",
- "\t<tr><td>Mister 59</td><td>D</td><td>value3</td><td> 74</td><td>59</td></tr>\n",
- "\t<tr><td>Mister 60</td><td>D</td><td>value1</td><td> 99</td><td>60</td></tr>\n",
- "\t<tr><td>Mister 60</td><td>D</td><td>value2</td><td> 98</td><td>60</td></tr>\n",
- "\t<tr><td>Mister 60</td><td>D</td><td>value3</td><td> 46</td><td>60</td></tr>\n",
+ "\t<tr><td>Mister 1 </td><td>175</td></tr>\n",
+ "\t<tr><td>Mister 10</td><td>166</td></tr>\n",
+ "\t<tr><td>Mister 11</td><td>167</td></tr>\n",
+ "\t<tr><td>Mister 12</td><td>146</td></tr>\n",
+ "\t<tr><td>Mister 13</td><td>188</td></tr>\n",
+ "\t<tr><td>Mister 14</td><td>170</td></tr>\n",
+ "\t<tr><td>Mister 15</td><td> 96</td></tr>\n",
+ "\t<tr><td>Mister 16</td><td>190</td></tr>\n",
+ "\t<tr><td>Mister 17</td><td>175</td></tr>\n",
+ "\t<tr><td>Mister 18</td><td>188</td></tr>\n",
+ "\t<tr><td>Mister 19</td><td>135</td></tr>\n",
+ "\t<tr><td>Mister 2 </td><td>190</td></tr>\n",
+ "\t<tr><td>Mister 20</td><td>150</td></tr>\n",
+ "\t<tr><td>Mister 21</td><td>153</td></tr>\n",
+ "\t<tr><td>Mister 22</td><td> 97</td></tr>\n",
+ "\t<tr><td>Mister 23</td><td> 75</td></tr>\n",
+ "\t<tr><td>Mister 24</td><td>153</td></tr>\n",
+ "\t<tr><td>Mister 25</td><td>178</td></tr>\n",
+ "\t<tr><td>Mister 26</td><td>159</td></tr>\n",
+ "\t<tr><td>Mister 27</td><td>162</td></tr>\n",
+ "\t<tr><td>Mister 28</td><td>277</td></tr>\n",
+ "\t<tr><td>Mister 29</td><td>153</td></tr>\n",
+ "\t<tr><td>Mister 3 </td><td>220</td></tr>\n",
+ "\t<tr><td>Mister 30</td><td>175</td></tr>\n",
+ "\t<tr><td>Mister 31</td><td>192</td></tr>\n",
+ "\t<tr><td>Mister 32</td><td>107</td></tr>\n",
+ "\t<tr><td>Mister 33</td><td>140</td></tr>\n",
+ "\t<tr><td>Mister 34</td><td>177</td></tr>\n",
+ "\t<tr><td>Mister 35</td><td>203</td></tr>\n",
+ "\t<tr><td>Mister 36</td><td>231</td></tr>\n",
+ "\t<tr><td>â‹®</td><td>â‹®</td></tr>\n",
+ "\t<tr><td>Mister 38</td><td>123</td></tr>\n",
+ "\t<tr><td>Mister 39</td><td>219</td></tr>\n",
+ "\t<tr><td>Mister 4 </td><td>229</td></tr>\n",
+ "\t<tr><td>Mister 40</td><td>144</td></tr>\n",
+ "\t<tr><td>Mister 41</td><td> 56</td></tr>\n",
+ "\t<tr><td>Mister 42</td><td>103</td></tr>\n",
+ "\t<tr><td>Mister 43</td><td>138</td></tr>\n",
+ "\t<tr><td>Mister 44</td><td>188</td></tr>\n",
+ "\t<tr><td>Mister 45</td><td>129</td></tr>\n",
+ "\t<tr><td>Mister 46</td><td>272</td></tr>\n",
+ "\t<tr><td>Mister 47</td><td>175</td></tr>\n",
+ "\t<tr><td>Mister 48</td><td>137</td></tr>\n",
+ "\t<tr><td>Mister 49</td><td>230</td></tr>\n",
+ "\t<tr><td>Mister 5 </td><td>139</td></tr>\n",
+ "\t<tr><td>Mister 50</td><td>163</td></tr>\n",
+ "\t<tr><td>Mister 51</td><td>113</td></tr>\n",
+ "\t<tr><td>Mister 52</td><td>199</td></tr>\n",
+ "\t<tr><td>Mister 53</td><td>151</td></tr>\n",
+ "\t<tr><td>Mister 54</td><td>171</td></tr>\n",
+ "\t<tr><td>Mister 55</td><td>170</td></tr>\n",
+ "\t<tr><td>Mister 56</td><td>148</td></tr>\n",
+ "\t<tr><td>Mister 57</td><td>151</td></tr>\n",
+ "\t<tr><td>Mister 58</td><td>217</td></tr>\n",
+ "\t<tr><td>Mister 59</td><td>176</td></tr>\n",
+ "\t<tr><td>Mister 6 </td><td>207</td></tr>\n",
+ "\t<tr><td>Mister 60</td><td>144</td></tr>\n",
+ "\t<tr><td>Mister 7 </td><td>194</td></tr>\n",
+ "\t<tr><td>Mister 8 </td><td>202</td></tr>\n",
+ "\t<tr><td>Mister 9 </td><td>263</td></tr>\n",
+ "\t<tr><td>NA </td><td> NA</td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
- "A data.frame: 180 × 5\n",
- "\\begin{tabular}{lllll}\n",
- " individual & group & observation & value & id\\\\\n",
- " <chr> & <chr> & <chr> & <int> & <int>\\\\\n",
+ "A tibble: 61 × 2\n",
+ "\\begin{tabular}{ll}\n",
+ " individual & tot\\\\\n",
+ " <chr> & <int>\\\\\n",
"\\hline\n",
- "\t Mister 1 & A & value1 & 98 & 1\\\\\n",
- "\t Mister 1 & A & value2 & 60 & 1\\\\\n",
- "\t Mister 1 & A & value3 & 61 & 1\\\\\n",
- "\t Mister 10 & A & value1 & 100 & 2\\\\\n",
- "\t Mister 10 & A & value2 & 31 & 2\\\\\n",
- "\t Mister 10 & A & value3 & 65 & 2\\\\\n",
- "\t Mister 2 & A & value1 & 25 & 3\\\\\n",
- "\t Mister 2 & A & value2 & 90 & 3\\\\\n",
- "\t Mister 2 & A & value3 & 82 & 3\\\\\n",
- "\t Mister 3 & A & value1 & 76 & 4\\\\\n",
- "\t Mister 3 & A & value2 & 59 & 4\\\\\n",
- "\t Mister 3 & A & value3 & 14 & 4\\\\\n",
- "\t Mister 4 & A & value1 & 74 & 5\\\\\n",
- "\t Mister 4 & A & value2 & 27 & 5\\\\\n",
- "\t Mister 4 & A & value3 & 24 & 5\\\\\n",
- "\t Mister 5 & A & value1 & 100 & 6\\\\\n",
- "\t Mister 5 & A & value2 & 99 & 6\\\\\n",
- "\t Mister 5 & A & value3 & 25 & 6\\\\\n",
- "\t Mister 6 & A & value1 & 88 & 7\\\\\n",
- "\t Mister 6 & A & value2 & 45 & 7\\\\\n",
- "\t Mister 6 & A & value3 & 12 & 7\\\\\n",
- "\t Mister 7 & A & value1 & 65 & 8\\\\\n",
- "\t Mister 7 & A & value2 & 74 & 8\\\\\n",
- "\t Mister 7 & A & value3 & 24 & 8\\\\\n",
- "\t Mister 8 & A & value1 & 16 & 9\\\\\n",
- "\t Mister 8 & A & value2 & 14 & 9\\\\\n",
- "\t Mister 8 & A & value3 & 19 & 9\\\\\n",
- "\t Mister 9 & A & value1 & 16 & 10\\\\\n",
- "\t Mister 9 & A & value2 & 41 & 10\\\\\n",
- "\t Mister 9 & A & value3 & 94 & 10\\\\\n",
- "\t â‹® & â‹® & â‹® & â‹® & â‹®\\\\\n",
- "\t Mister 51 & C & value1 & 82 & 51\\\\\n",
- "\t Mister 51 & C & value2 & 89 & 51\\\\\n",
- "\t Mister 51 & C & value3 & 58 & 51\\\\\n",
- "\t Mister 52 & C & value1 & 28 & 52\\\\\n",
- "\t Mister 52 & C & value2 & 88 & 52\\\\\n",
- "\t Mister 52 & C & value3 & 81 & 52\\\\\n",
- "\t Mister 53 & C & value1 & 58 & 53\\\\\n",
- "\t Mister 53 & C & value2 & 51 & 53\\\\\n",
- "\t Mister 53 & C & value3 & 86 & 53\\\\\n",
- "\t Mister 54 & C & value1 & 100 & 54\\\\\n",
- "\t Mister 54 & C & value2 & 89 & 54\\\\\n",
- "\t Mister 54 & C & value3 & 50 & 54\\\\\n",
- "\t Mister 55 & D & value1 & 75 & 55\\\\\n",
- "\t Mister 55 & D & value2 & 77 & 55\\\\\n",
- "\t Mister 55 & D & value3 & 57 & 55\\\\\n",
- "\t Mister 56 & D & value1 & 63 & 56\\\\\n",
- "\t Mister 56 & D & value2 & 84 & 56\\\\\n",
- "\t Mister 56 & D & value3 & 92 & 56\\\\\n",
- "\t Mister 57 & D & value1 & 79 & 57\\\\\n",
- "\t Mister 57 & D & value2 & 65 & 57\\\\\n",
- "\t Mister 57 & D & value3 & 77 & 57\\\\\n",
- "\t Mister 58 & D & value1 & 27 & 58\\\\\n",
- "\t Mister 58 & D & value2 & 62 & 58\\\\\n",
- "\t Mister 58 & D & value3 & 85 & 58\\\\\n",
- "\t Mister 59 & D & value1 & 70 & 59\\\\\n",
- "\t Mister 59 & D & value2 & 80 & 59\\\\\n",
- "\t Mister 59 & D & value3 & 74 & 59\\\\\n",
- "\t Mister 60 & D & value1 & 99 & 60\\\\\n",
- "\t Mister 60 & D & value2 & 98 & 60\\\\\n",
- "\t Mister 60 & D & value3 & 46 & 60\\\\\n",
+ "\t Mister 1 & 175\\\\\n",
+ "\t Mister 10 & 166\\\\\n",
+ "\t Mister 11 & 167\\\\\n",
+ "\t Mister 12 & 146\\\\\n",
+ "\t Mister 13 & 188\\\\\n",
+ "\t Mister 14 & 170\\\\\n",
+ "\t Mister 15 & 96\\\\\n",
+ "\t Mister 16 & 190\\\\\n",
+ "\t Mister 17 & 175\\\\\n",
+ "\t Mister 18 & 188\\\\\n",
+ "\t Mister 19 & 135\\\\\n",
+ "\t Mister 2 & 190\\\\\n",
+ "\t Mister 20 & 150\\\\\n",
+ "\t Mister 21 & 153\\\\\n",
+ "\t Mister 22 & 97\\\\\n",
+ "\t Mister 23 & 75\\\\\n",
+ "\t Mister 24 & 153\\\\\n",
+ "\t Mister 25 & 178\\\\\n",
+ "\t Mister 26 & 159\\\\\n",
+ "\t Mister 27 & 162\\\\\n",
+ "\t Mister 28 & 277\\\\\n",
+ "\t Mister 29 & 153\\\\\n",
+ "\t Mister 3 & 220\\\\\n",
+ "\t Mister 30 & 175\\\\\n",
+ "\t Mister 31 & 192\\\\\n",
+ "\t Mister 32 & 107\\\\\n",
+ "\t Mister 33 & 140\\\\\n",
+ "\t Mister 34 & 177\\\\\n",
+ "\t Mister 35 & 203\\\\\n",
+ "\t Mister 36 & 231\\\\\n",
+ "\t â‹® & â‹®\\\\\n",
+ "\t Mister 38 & 123\\\\\n",
+ "\t Mister 39 & 219\\\\\n",
+ "\t Mister 4 & 229\\\\\n",
+ "\t Mister 40 & 144\\\\\n",
+ "\t Mister 41 & 56\\\\\n",
+ "\t Mister 42 & 103\\\\\n",
+ "\t Mister 43 & 138\\\\\n",
+ "\t Mister 44 & 188\\\\\n",
+ "\t Mister 45 & 129\\\\\n",
+ "\t Mister 46 & 272\\\\\n",
+ "\t Mister 47 & 175\\\\\n",
+ "\t Mister 48 & 137\\\\\n",
+ "\t Mister 49 & 230\\\\\n",
+ "\t Mister 5 & 139\\\\\n",
+ "\t Mister 50 & 163\\\\\n",
+ "\t Mister 51 & 113\\\\\n",
+ "\t Mister 52 & 199\\\\\n",
+ "\t Mister 53 & 151\\\\\n",
+ "\t Mister 54 & 171\\\\\n",
+ "\t Mister 55 & 170\\\\\n",
+ "\t Mister 56 & 148\\\\\n",
+ "\t Mister 57 & 151\\\\\n",
+ "\t Mister 58 & 217\\\\\n",
+ "\t Mister 59 & 176\\\\\n",
+ "\t Mister 6 & 207\\\\\n",
+ "\t Mister 60 & 144\\\\\n",
+ "\t Mister 7 & 194\\\\\n",
+ "\t Mister 8 & 202\\\\\n",
+ "\t Mister 9 & 263\\\\\n",
+ "\t NA & NA\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
- "A data.frame: 180 × 5\n",
+ "A tibble: 61 × 2\n",
"\n",
- "| individual <chr> | group <chr> | observation <chr> | value <int> | id <int> |\n",
- "|---|---|---|---|---|\n",
- "| Mister 1 | A | value1 | 98 | 1 |\n",
- "| Mister 1 | A | value2 | 60 | 1 |\n",
- "| Mister 1 | A | value3 | 61 | 1 |\n",
- "| Mister 10 | A | value1 | 100 | 2 |\n",
- "| Mister 10 | A | value2 | 31 | 2 |\n",
- "| Mister 10 | A | value3 | 65 | 2 |\n",
- "| Mister 2 | A | value1 | 25 | 3 |\n",
- "| Mister 2 | A | value2 | 90 | 3 |\n",
- "| Mister 2 | A | value3 | 82 | 3 |\n",
- "| Mister 3 | A | value1 | 76 | 4 |\n",
- "| Mister 3 | A | value2 | 59 | 4 |\n",
- "| Mister 3 | A | value3 | 14 | 4 |\n",
- "| Mister 4 | A | value1 | 74 | 5 |\n",
- "| Mister 4 | A | value2 | 27 | 5 |\n",
- "| Mister 4 | A | value3 | 24 | 5 |\n",
- "| Mister 5 | A | value1 | 100 | 6 |\n",
- "| Mister 5 | A | value2 | 99 | 6 |\n",
- "| Mister 5 | A | value3 | 25 | 6 |\n",
- "| Mister 6 | A | value1 | 88 | 7 |\n",
- "| Mister 6 | A | value2 | 45 | 7 |\n",
- "| Mister 6 | A | value3 | 12 | 7 |\n",
- "| Mister 7 | A | value1 | 65 | 8 |\n",
- "| Mister 7 | A | value2 | 74 | 8 |\n",
- "| Mister 7 | A | value3 | 24 | 8 |\n",
- "| Mister 8 | A | value1 | 16 | 9 |\n",
- "| Mister 8 | A | value2 | 14 | 9 |\n",
- "| Mister 8 | A | value3 | 19 | 9 |\n",
- "| Mister 9 | A | value1 | 16 | 10 |\n",
- "| Mister 9 | A | value2 | 41 | 10 |\n",
- "| Mister 9 | A | value3 | 94 | 10 |\n",
- "| â‹® | â‹® | â‹® | â‹® | â‹® |\n",
- "| Mister 51 | C | value1 | 82 | 51 |\n",
- "| Mister 51 | C | value2 | 89 | 51 |\n",
- "| Mister 51 | C | value3 | 58 | 51 |\n",
- "| Mister 52 | C | value1 | 28 | 52 |\n",
- "| Mister 52 | C | value2 | 88 | 52 |\n",
- "| Mister 52 | C | value3 | 81 | 52 |\n",
- "| Mister 53 | C | value1 | 58 | 53 |\n",
- "| Mister 53 | C | value2 | 51 | 53 |\n",
- "| Mister 53 | C | value3 | 86 | 53 |\n",
- "| Mister 54 | C | value1 | 100 | 54 |\n",
- "| Mister 54 | C | value2 | 89 | 54 |\n",
- "| Mister 54 | C | value3 | 50 | 54 |\n",
- "| Mister 55 | D | value1 | 75 | 55 |\n",
- "| Mister 55 | D | value2 | 77 | 55 |\n",
- "| Mister 55 | D | value3 | 57 | 55 |\n",
- "| Mister 56 | D | value1 | 63 | 56 |\n",
- "| Mister 56 | D | value2 | 84 | 56 |\n",
- "| Mister 56 | D | value3 | 92 | 56 |\n",
- "| Mister 57 | D | value1 | 79 | 57 |\n",
- "| Mister 57 | D | value2 | 65 | 57 |\n",
- "| Mister 57 | D | value3 | 77 | 57 |\n",
- "| Mister 58 | D | value1 | 27 | 58 |\n",
- "| Mister 58 | D | value2 | 62 | 58 |\n",
- "| Mister 58 | D | value3 | 85 | 58 |\n",
- "| Mister 59 | D | value1 | 70 | 59 |\n",
- "| Mister 59 | D | value2 | 80 | 59 |\n",
- "| Mister 59 | D | value3 | 74 | 59 |\n",
- "| Mister 60 | D | value1 | 99 | 60 |\n",
- "| Mister 60 | D | value2 | 98 | 60 |\n",
- "| Mister 60 | D | value3 | 46 | 60 |\n",
+ "| individual <chr> | tot <int> |\n",
+ "|---|---|\n",
+ "| Mister 1 | 175 |\n",
+ "| Mister 10 | 166 |\n",
+ "| Mister 11 | 167 |\n",
+ "| Mister 12 | 146 |\n",
+ "| Mister 13 | 188 |\n",
+ "| Mister 14 | 170 |\n",
+ "| Mister 15 | 96 |\n",
+ "| Mister 16 | 190 |\n",
+ "| Mister 17 | 175 |\n",
+ "| Mister 18 | 188 |\n",
+ "| Mister 19 | 135 |\n",
+ "| Mister 2 | 190 |\n",
+ "| Mister 20 | 150 |\n",
+ "| Mister 21 | 153 |\n",
+ "| Mister 22 | 97 |\n",
+ "| Mister 23 | 75 |\n",
+ "| Mister 24 | 153 |\n",
+ "| Mister 25 | 178 |\n",
+ "| Mister 26 | 159 |\n",
+ "| Mister 27 | 162 |\n",
+ "| Mister 28 | 277 |\n",
+ "| Mister 29 | 153 |\n",
+ "| Mister 3 | 220 |\n",
+ "| Mister 30 | 175 |\n",
+ "| Mister 31 | 192 |\n",
+ "| Mister 32 | 107 |\n",
+ "| Mister 33 | 140 |\n",
+ "| Mister 34 | 177 |\n",
+ "| Mister 35 | 203 |\n",
+ "| Mister 36 | 231 |\n",
+ "| â‹® | â‹® |\n",
+ "| Mister 38 | 123 |\n",
+ "| Mister 39 | 219 |\n",
+ "| Mister 4 | 229 |\n",
+ "| Mister 40 | 144 |\n",
+ "| Mister 41 | 56 |\n",
+ "| Mister 42 | 103 |\n",
+ "| Mister 43 | 138 |\n",
+ "| Mister 44 | 188 |\n",
+ "| Mister 45 | 129 |\n",
+ "| Mister 46 | 272 |\n",
+ "| Mister 47 | 175 |\n",
+ "| Mister 48 | 137 |\n",
+ "| Mister 49 | 230 |\n",
+ "| Mister 5 | 139 |\n",
+ "| Mister 50 | 163 |\n",
+ "| Mister 51 | 113 |\n",
+ "| Mister 52 | 199 |\n",
+ "| Mister 53 | 151 |\n",
+ "| Mister 54 | 171 |\n",
+ "| Mister 55 | 170 |\n",
+ "| Mister 56 | 148 |\n",
+ "| Mister 57 | 151 |\n",
+ "| Mister 58 | 217 |\n",
+ "| Mister 59 | 176 |\n",
+ "| Mister 6 | 207 |\n",
+ "| Mister 60 | 144 |\n",
+ "| Mister 7 | 194 |\n",
+ "| Mister 8 | 202 |\n",
+ "| Mister 9 | 263 |\n",
+ "| NA | NA |\n",
"\n"
],
"text/plain": [
- " individual group observation value id\n",
- "1 Mister 1 A value1 98 1\n",
- "2 Mister 1 A value2 60 1\n",
- "3 Mister 1 A value3 61 1\n",
- "4 Mister 10 A value1 100 2\n",
- "5 Mister 10 A value2 31 2\n",
- "6 Mister 10 A value3 65 2\n",
- "7 Mister 2 A value1 25 3\n",
- "8 Mister 2 A value2 90 3\n",
- "9 Mister 2 A value3 82 3\n",
- "10 Mister 3 A value1 76 4\n",
- "11 Mister 3 A value2 59 4\n",
- "12 Mister 3 A value3 14 4\n",
- "13 Mister 4 A value1 74 5\n",
- "14 Mister 4 A value2 27 5\n",
- "15 Mister 4 A value3 24 5\n",
- "16 Mister 5 A value1 100 6\n",
- "17 Mister 5 A value2 99 6\n",
- "18 Mister 5 A value3 25 6\n",
- "19 Mister 6 A value1 88 7\n",
- "20 Mister 6 A value2 45 7\n",
- "21 Mister 6 A value3 12 7\n",
- "22 Mister 7 A value1 65 8\n",
- "23 Mister 7 A value2 74 8\n",
- "24 Mister 7 A value3 24 8\n",
- "25 Mister 8 A value1 16 9\n",
- "26 Mister 8 A value2 14 9\n",
- "27 Mister 8 A value3 19 9\n",
- "28 Mister 9 A value1 16 10\n",
- "29 Mister 9 A value2 41 10\n",
- "30 Mister 9 A value3 94 10\n",
- "â‹® â‹® â‹® â‹® â‹® â‹® \n",
- "151 Mister 51 C value1 82 51\n",
- "152 Mister 51 C value2 89 51\n",
- "153 Mister 51 C value3 58 51\n",
- "154 Mister 52 C value1 28 52\n",
- "155 Mister 52 C value2 88 52\n",
- "156 Mister 52 C value3 81 52\n",
- "157 Mister 53 C value1 58 53\n",
- "158 Mister 53 C value2 51 53\n",
- "159 Mister 53 C value3 86 53\n",
- "160 Mister 54 C value1 100 54\n",
- "161 Mister 54 C value2 89 54\n",
- "162 Mister 54 C value3 50 54\n",
- "163 Mister 55 D value1 75 55\n",
- "164 Mister 55 D value2 77 55\n",
- "165 Mister 55 D value3 57 55\n",
- "166 Mister 56 D value1 63 56\n",
- "167 Mister 56 D value2 84 56\n",
- "168 Mister 56 D value3 92 56\n",
- "169 Mister 57 D value1 79 57\n",
- "170 Mister 57 D value2 65 57\n",
- "171 Mister 57 D value3 77 57\n",
- "172 Mister 58 D value1 27 58\n",
- "173 Mister 58 D value2 62 58\n",
- "174 Mister 58 D value3 85 58\n",
- "175 Mister 59 D value1 70 59\n",
- "176 Mister 59 D value2 80 59\n",
- "177 Mister 59 D value3 74 59\n",
- "178 Mister 60 D value1 99 60\n",
- "179 Mister 60 D value2 98 60\n",
- "180 Mister 60 D value3 46 60"
+ " individual tot\n",
+ "1 Mister 1 175\n",
+ "2 Mister 10 166\n",
+ "3 Mister 11 167\n",
+ "4 Mister 12 146\n",
+ "5 Mister 13 188\n",
+ "6 Mister 14 170\n",
+ "7 Mister 15 96\n",
+ "8 Mister 16 190\n",
+ "9 Mister 17 175\n",
+ "10 Mister 18 188\n",
+ "11 Mister 19 135\n",
+ "12 Mister 2 190\n",
+ "13 Mister 20 150\n",
+ "14 Mister 21 153\n",
+ "15 Mister 22 97\n",
+ "16 Mister 23 75\n",
+ "17 Mister 24 153\n",
+ "18 Mister 25 178\n",
+ "19 Mister 26 159\n",
+ "20 Mister 27 162\n",
+ "21 Mister 28 277\n",
+ "22 Mister 29 153\n",
+ "23 Mister 3 220\n",
+ "24 Mister 30 175\n",
+ "25 Mister 31 192\n",
+ "26 Mister 32 107\n",
+ "27 Mister 33 140\n",
+ "28 Mister 34 177\n",
+ "29 Mister 35 203\n",
+ "30 Mister 36 231\n",
+ "â‹® â‹® â‹® \n",
+ "32 Mister 38 123\n",
+ "33 Mister 39 219\n",
+ "34 Mister 4 229\n",
+ "35 Mister 40 144\n",
+ "36 Mister 41 56\n",
+ "37 Mister 42 103\n",
+ "38 Mister 43 138\n",
+ "39 Mister 44 188\n",
+ "40 Mister 45 129\n",
+ "41 Mister 46 272\n",
+ "42 Mister 47 175\n",
+ "43 Mister 48 137\n",
+ "44 Mister 49 230\n",
+ "45 Mister 5 139\n",
+ "46 Mister 50 163\n",
+ "47 Mister 51 113\n",
+ "48 Mister 52 199\n",
+ "49 Mister 53 151\n",
+ "50 Mister 54 171\n",
+ "51 Mister 55 170\n",
+ "52 Mister 56 148\n",
+ "53 Mister 57 151\n",
+ "54 Mister 58 217\n",
+ "55 Mister 59 176\n",
+ "56 Mister 6 207\n",
+ "57 Mister 60 144\n",
+ "58 Mister 7 194\n",
+ "59 Mister 8 202\n",
+ "60 Mister 9 263\n",
+ "61 NA NA"
]
},
"metadata": {},
@@ -2875,13 +2921,13 @@
}
],
"source": [
- "data"
+ "data %>% group_by(individual) %>% summarize(tot=sum(value))"
]
},
{
"cell_type": "code",
"execution_count": null,
- "id": "4783e1ad-dfdf-4529-9af6-c317ed90713c",
+ "id": "1e94948f-6bc5-49b2-8ac8-cbfcd5a3ae1c",
"metadata": {},
"outputs": [],
"source": []
diff --git a/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.ipynb b/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.ipynb
index 181f108..0a4753a 100644
--- a/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.ipynb
+++ b/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.ipynb
@@ -2,9 +2,13 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": null,
"id": "champion-language",
"metadata": {
+ "collapsed": true,
+ "jupyter": {
+ "outputs_hidden": true
+ },
"tags": []
},
"outputs": [
@@ -14,29 +18,32 @@
"text": [
"Collecting geopandas\n",
" Using cached geopandas-0.14.1-py3-none-any.whl (1.1 MB)\n",
+ "Collecting fiona>=1.8.21\n",
+ " Using cached fiona-1.9.5-cp310-cp310-manylinux2014_x86_64.whl (15.7 MB)\n",
+ "Collecting pandas>=1.4.0\n",
+ " Using cached pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)\n",
+ "Requirement already satisfied: packaging in /opt/conda/lib/python3.10/site-packages (from geopandas) (23.1)\n",
"Collecting pyproj>=3.3.0\n",
" Using cached pyproj-3.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.3 MB)\n",
"Collecting shapely>=1.8.0\n",
" Using cached shapely-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.5 MB)\n",
- "Collecting pandas>=1.4.0\n",
- " Using cached pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)\n",
- "Collecting fiona>=1.8.21\n",
- " Using cached fiona-1.9.5-cp310-cp310-manylinux2014_x86_64.whl (15.7 MB)\n",
- "Requirement already satisfied: packaging in /opt/conda/lib/python3.10/site-packages (from geopandas) (23.1)\n",
+ "Requirement already satisfied: certifi in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (2023.7.22)\n",
+ "Collecting click-plugins>=1.0\n",
+ " Using cached click_plugins-1.1.1-py2.py3-none-any.whl (7.5 kB)\n",
"Requirement already satisfied: setuptools in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (65.5.0)\n",
+ "Collecting cligj>=0.5\n",
+ " Using cached cligj-0.7.2-py3-none-any.whl (7.1 kB)\n",
"Requirement already satisfied: attrs>=19.2.0 in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (23.1.0)\n",
- "Requirement already satisfied: click-plugins>=1.0 in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (1.1.1)\n",
- "Requirement already satisfied: certifi in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (2023.7.22)\n",
- "Requirement already satisfied: cligj>=0.5 in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (0.7.2)\n",
- "Requirement already satisfied: click~=8.0 in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (8.1.7)\n",
"Requirement already satisfied: six in /opt/conda/lib/python3.10/site-packages (from fiona>=1.8.21->geopandas) (1.16.0)\n",
+ "Collecting click~=8.0\n",
+ " Using cached click-8.1.7-py3-none-any.whl (97 kB)\n",
+ "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.4.0->geopandas) (2.8.2)\n",
+ "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.4.0->geopandas) (2023.3)\n",
"Requirement already satisfied: numpy<2,>=1.22.4 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.4.0->geopandas) (1.25.2)\n",
"Collecting tzdata>=2022.1\n",
" Using cached tzdata-2023.3-py2.py3-none-any.whl (341 kB)\n",
- "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.4.0->geopandas) (2023.3)\n",
- "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.4.0->geopandas) (2.8.2)\n",
- "Installing collected packages: tzdata, shapely, pyproj, pandas, fiona, geopandas\n",
- "Successfully installed fiona-1.9.5 geopandas-0.14.1 pandas-2.1.3 pyproj-3.6.1 shapely-2.0.2 tzdata-2023.3\n",
+ "Installing collected packages: tzdata, shapely, pyproj, click, pandas, cligj, click-plugins, fiona, geopandas\n",
+ "Successfully installed click-8.1.7 click-plugins-1.1.1 cligj-0.7.2 fiona-1.9.5 geopandas-0.14.1 pandas-2.1.3 pyproj-3.6.1 shapely-2.0.2 tzdata-2023.3\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
"\u001b[0mRequirement already satisfied: backoff in /opt/conda/lib/python3.10/site-packages (2.2.1)\n",
@@ -47,9 +54,9 @@
"Requirement already satisfied: numpy>=1.18 in /opt/conda/lib/python3.10/site-packages (from statsmodels) (1.25.2)\n",
"Collecting scipy!=1.9.2,>=1.4\n",
" Using cached scipy-1.11.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.4 MB)\n",
- "Requirement already satisfied: packaging>=21.3 in /opt/conda/lib/python3.10/site-packages (from statsmodels) (23.1)\n",
"Collecting patsy>=0.5.2\n",
" Using cached patsy-0.5.3-py2.py3-none-any.whl (233 kB)\n",
+ "Requirement already satisfied: packaging>=21.3 in /opt/conda/lib/python3.10/site-packages (from statsmodels) (23.1)\n",
"Requirement already satisfied: pandas>=1.0 in /opt/conda/lib/python3.10/site-packages (from statsmodels) (2.1.3)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.0->statsmodels) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.0->statsmodels) (2023.3)\n",
@@ -62,18 +69,18 @@
"\u001b[0mCollecting seaborn\n",
" Using cached seaborn-0.13.0-py3-none-any.whl (294 kB)\n",
"Requirement already satisfied: pandas>=1.2 in /opt/conda/lib/python3.10/site-packages (from seaborn) (2.1.3)\n",
- "Requirement already satisfied: numpy!=1.24.0,>=1.20 in /opt/conda/lib/python3.10/site-packages (from seaborn) (1.25.2)\n",
"Requirement already satisfied: matplotlib!=3.6.1,>=3.3 in /opt/conda/lib/python3.10/site-packages (from seaborn) (3.7.2)\n",
+ "Requirement already satisfied: numpy!=1.24.0,>=1.20 in /opt/conda/lib/python3.10/site-packages (from seaborn) (1.25.2)\n",
+ "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (2.8.2)\n",
+ "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (10.0.0)\n",
+ "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.4.4)\n",
+ "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.1.0)\n",
"Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (0.11.0)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (4.42.0)\n",
- "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (23.1)\n",
"Requirement already satisfied: pyparsing<3.1,>=2.3.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (3.0.9)\n",
- "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.1.0)\n",
- "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (2.8.2)\n",
- "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.4.4)\n",
- "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (10.0.0)\n",
- "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.2->seaborn) (2023.3)\n",
+ "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (23.1)\n",
"Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.2->seaborn) (2023.3)\n",
+ "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.2->seaborn) (2023.3)\n",
"Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.3->seaborn) (1.16.0)\n",
"Installing collected packages: seaborn\n",
"Successfully installed seaborn-0.13.0\n",
@@ -85,114 +92,22 @@
"\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
"\u001b[0mCollecting mapclassify\n",
" Using cached mapclassify-2.6.1-py3-none-any.whl (38 kB)\n",
+ "Requirement already satisfied: scipy>=1.8 in /opt/conda/lib/python3.10/site-packages (from mapclassify) (1.11.3)\n",
+ "Requirement already satisfied: pandas!=1.5.0,>=1.4 in /opt/conda/lib/python3.10/site-packages (from mapclassify) (2.1.3)\n",
"Collecting networkx>=2.7\n",
" Using cached networkx-3.2.1-py3-none-any.whl (1.6 MB)\n",
+ "Requirement already satisfied: numpy>=1.23 in /opt/conda/lib/python3.10/site-packages (from mapclassify) (1.25.2)\n",
"Collecting scikit-learn>=1.0\n",
" Using cached scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.8 MB)\n",
- "Requirement already satisfied: scipy>=1.8 in /opt/conda/lib/python3.10/site-packages (from mapclassify) (1.11.3)\n",
- "Requirement already satisfied: numpy>=1.23 in /opt/conda/lib/python3.10/site-packages (from mapclassify) (1.25.2)\n",
- "Requirement already satisfied: pandas!=1.5.0,>=1.4 in /opt/conda/lib/python3.10/site-packages (from mapclassify) (2.1.3)\n",
- "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas!=1.5.0,>=1.4->mapclassify) (2023.3)\n",
- "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas!=1.5.0,>=1.4->mapclassify) (2023.3)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas!=1.5.0,>=1.4->mapclassify) (2.8.2)\n",
+ "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas!=1.5.0,>=1.4->mapclassify) (2023.3)\n",
+ "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas!=1.5.0,>=1.4->mapclassify) (2023.3)\n",
"Collecting threadpoolctl>=2.0.0\n",
" Using cached threadpoolctl-3.2.0-py3-none-any.whl (15 kB)\n",
"Collecting joblib>=1.1.1\n",
" Using cached joblib-1.3.2-py3-none-any.whl (302 kB)\n",
"Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas!=1.5.0,>=1.4->mapclassify) (1.16.0)\n",
- "Installing collected packages: threadpoolctl, networkx, joblib, scikit-learn, mapclassify\n",
- "Successfully installed joblib-1.3.2 mapclassify-2.6.1 networkx-3.2.1 scikit-learn-1.3.2 threadpoolctl-3.2.0\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0mCollecting unidecode\n",
- " Using cached Unidecode-1.3.7-py3-none-any.whl (235 kB)\n",
- "Installing collected packages: unidecode\n",
- "Successfully installed unidecode-1.3.7\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0mRequirement already satisfied: rasterio in /opt/conda/lib/python3.10/site-packages (1.3.9)\n",
- "Requirement already satisfied: attrs in /opt/conda/lib/python3.10/site-packages (from rasterio) (23.1.0)\n",
- "Requirement already satisfied: click>=4.0 in /opt/conda/lib/python3.10/site-packages (from rasterio) (8.1.7)\n",
- "Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from rasterio) (1.25.2)\n",
- "Requirement already satisfied: cligj>=0.5 in /opt/conda/lib/python3.10/site-packages (from rasterio) (0.7.2)\n",
- "Requirement already satisfied: click-plugins in /opt/conda/lib/python3.10/site-packages (from rasterio) (1.1.1)\n",
- "Requirement already satisfied: affine in /opt/conda/lib/python3.10/site-packages (from rasterio) (2.4.0)\n",
- "Requirement already satisfied: snuggs>=1.4.1 in /opt/conda/lib/python3.10/site-packages (from rasterio) (1.4.7)\n",
- "Requirement already satisfied: setuptools in /opt/conda/lib/python3.10/site-packages (from rasterio) (65.5.0)\n",
- "Requirement already satisfied: certifi in /opt/conda/lib/python3.10/site-packages (from rasterio) (2023.7.22)\n",
- "Requirement already satisfied: pyparsing>=2.1.6 in /opt/conda/lib/python3.10/site-packages (from snuggs>=1.4.1->rasterio) (3.0.9)\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0mRequirement already satisfied: seaborn in /opt/conda/lib/python3.10/site-packages (0.13.0)\n",
- "Requirement already satisfied: matplotlib!=3.6.1,>=3.3 in /opt/conda/lib/python3.10/site-packages (from seaborn) (3.7.2)\n",
- "Requirement already satisfied: numpy!=1.24.0,>=1.20 in /opt/conda/lib/python3.10/site-packages (from seaborn) (1.25.2)\n",
- "Requirement already satisfied: pandas>=1.2 in /opt/conda/lib/python3.10/site-packages (from seaborn) (2.1.3)\n",
- "Requirement already satisfied: pyparsing<3.1,>=2.3.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (3.0.9)\n",
- "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (10.0.0)\n",
- "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (4.42.0)\n",
- "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (0.11.0)\n",
- "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (23.1)\n",
- "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (2.8.2)\n",
- "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.4.4)\n",
- "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.1.0)\n",
- "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.2->seaborn) (2023.3)\n",
- "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas>=1.2->seaborn) (2023.3)\n",
- "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.3->seaborn) (1.16.0)\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0mCollecting mpl_scatter_density\n",
- " Using cached mpl_scatter_density-0.7-py3-none-any.whl (655 kB)\n",
- "Collecting fast-histogram>=0.3\n",
- " Using cached fast_histogram-0.12-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (57 kB)\n",
- "Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from mpl_scatter_density) (1.25.2)\n",
- "Requirement already satisfied: matplotlib>=3.0 in /opt/conda/lib/python3.10/site-packages (from mpl_scatter_density) (3.7.2)\n",
- "Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (4.42.0)\n",
- "Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (23.1)\n",
- "Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (2.8.2)\n",
- "Requirement already satisfied: contourpy>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (1.1.0)\n",
- "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (0.11.0)\n",
- "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (1.4.4)\n",
- "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (10.0.0)\n",
- "Requirement already satisfied: pyparsing<3.1,>=2.3.1 in /opt/conda/lib/python3.10/site-packages (from matplotlib>=3.0->mpl_scatter_density) (3.0.9)\n",
- "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib>=3.0->mpl_scatter_density) (1.16.0)\n",
- "Installing collected packages: fast-histogram, mpl_scatter_density\n",
- "Successfully installed fast-histogram-0.12 mpl_scatter_density-0.7\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0mCollecting rasterstats\n",
- " Using cached rasterstats-0.19.0-py3-none-any.whl (16 kB)\n",
- "Requirement already satisfied: numpy>=1.9 in /opt/conda/lib/python3.10/site-packages (from rasterstats) (1.25.2)\n",
- "Requirement already satisfied: shapely in /opt/conda/lib/python3.10/site-packages (from rasterstats) (2.0.2)\n",
- "Requirement already satisfied: fiona in /opt/conda/lib/python3.10/site-packages (from rasterstats) (1.9.5)\n",
- "Requirement already satisfied: rasterio>=1.0 in /opt/conda/lib/python3.10/site-packages (from rasterstats) (1.3.9)\n",
- "Requirement already satisfied: click>7.1 in /opt/conda/lib/python3.10/site-packages (from rasterstats) (8.1.7)\n",
- "Collecting simplejson\n",
- " Using cached simplejson-3.19.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (137 kB)\n",
- "Requirement already satisfied: cligj>=0.4 in /opt/conda/lib/python3.10/site-packages (from rasterstats) (0.7.2)\n",
- "Requirement already satisfied: affine in /opt/conda/lib/python3.10/site-packages (from rasterstats) (2.4.0)\n",
- "Requirement already satisfied: snuggs>=1.4.1 in /opt/conda/lib/python3.10/site-packages (from rasterio>=1.0->rasterstats) (1.4.7)\n",
- "Requirement already satisfied: setuptools in /opt/conda/lib/python3.10/site-packages (from rasterio>=1.0->rasterstats) (65.5.0)\n",
- "Requirement already satisfied: click-plugins in /opt/conda/lib/python3.10/site-packages (from rasterio>=1.0->rasterstats) (1.1.1)\n",
- "Requirement already satisfied: attrs in /opt/conda/lib/python3.10/site-packages (from rasterio>=1.0->rasterstats) (23.1.0)\n",
- "Requirement already satisfied: certifi in /opt/conda/lib/python3.10/site-packages (from rasterio>=1.0->rasterstats) (2023.7.22)\n",
- "Requirement already satisfied: six in /opt/conda/lib/python3.10/site-packages (from fiona->rasterstats) (1.16.0)\n",
- "Requirement already satisfied: pyparsing>=2.1.6 in /opt/conda/lib/python3.10/site-packages (from snuggs>=1.4.1->rasterio>=1.0->rasterstats) (3.0.9)\n",
- "Installing collected packages: simplejson, rasterstats\n",
- "Successfully installed rasterstats-0.19.0 simplejson-3.19.2\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0mRequirement already satisfied: xmltodict in /opt/conda/lib/python3.10/site-packages (0.13.0)\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0mRequirement already satisfied: pandas in /opt/conda/lib/python3.10/site-packages (2.1.3)\n",
- "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.10/site-packages (from pandas) (2.8.2)\n",
- "Requirement already satisfied: numpy<2,>=1.22.4 in /opt/conda/lib/python3.10/site-packages (from pandas) (1.25.2)\n",
- "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.10/site-packages (from pandas) (2023.3)\n",
- "Requirement already satisfied: tzdata>=2022.1 in /opt/conda/lib/python3.10/site-packages (from pandas) (2023.3)\n",
- "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.10/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n",
- "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
- "\u001b[0m\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
- "\u001b[0m"
+ "Installing collected packages: threadpoolctl, networkx, joblib, scikit-learn, mapclassify\n"
]
}
],
@@ -214,7 +129,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": null,
"id": "2d3bc6fe-b0b5-4084-9c20-53d2e3d0343b",
"metadata": {
"tags": []
@@ -265,6 +180,7 @@
"import subprocess\n",
"import glob\n",
"import shutil\n",
+ "import time\n",
"\n",
"from maap.maap import MAAP\n",
"# maap=MAAP(maap_host=\"api.ops.maap-project.org\") \n",
@@ -332,7 +248,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"id": "82dba01f-ac52-4ded-a0ae-bbd06d12f241",
"metadata": {
"tags": []
@@ -341,10 +257,10 @@
{
"data": {
"text/plain": [
- "'{\"code\": 200, \"message\": {\"id\": \"f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\", \"short_id\": \"f28ee28e\", \"created_at\": \"2023-11-12T13:30:56.000+00:00\", \"parent_ids\": [\"4c940b2eab5927c1223ef3840711d5af748c12ec\"], \"title\": \"Registering algorithm: run_IPCC_classes_ADE\", \"message\": \"Registering algorithm: run_IPCC_classes_ADE\", \"author_name\": \"root\", \"author_email\": \"root@14e16c2322e1\", \"authored_date\": \"2023-11-12T13:30:56.000+00:00\", \"committer_name\": \"root\", \"committer_email\": \"root@14e16c2322e1\", \"committed_date\": \"2023-11-12T13:30:56.000+00:00\", \"trailers\": {}, \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/commit/f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\", \"stats\": {\"additions\": 0, \"deletions\": 0, \"total\": 0}, \"status\": \"pending\", \"project_id\": 3, \"last_pipeline\": {\"id\": 9612, \"iid\": 497, \"project_id\": 3, \"sha\": \"f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\", \"ref\": \"main\", \"status\": \"pending\", \"source\": \"push\", \"created_at\": \"2023-11-12T13:30:57.804Z\", \"updated_at\": \"2023-11-12T13:30:58.198Z\", \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/pipelines/9612\"}, \"job_web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9863\", \"job_log_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9863/raw\"}}\\n'"
+ "'{\"code\": 200, \"message\": {\"id\": \"a19a8ee0f8c161c03da41a9f644071ac4f287c38\", \"short_id\": \"a19a8ee0\", \"created_at\": \"2023-11-12T13:42:12.000+00:00\", \"parent_ids\": [\"f28ee28ee62eec0dcef1e32a8cc7a7b28abb9c0c\"], \"title\": \"Registering algorithm: run_IPCC_classes_ADE\", \"message\": \"Registering algorithm: run_IPCC_classes_ADE\", \"author_name\": \"root\", \"author_email\": \"root@14e16c2322e1\", \"authored_date\": \"2023-11-12T13:42:12.000+00:00\", \"committer_name\": \"root\", \"committer_email\": \"root@14e16c2322e1\", \"committed_date\": \"2023-11-12T13:42:12.000+00:00\", \"trailers\": {}, \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/commit/a19a8ee0f8c161c03da41a9f644071ac4f287c38\", \"stats\": {\"additions\": 0, \"deletions\": 0, \"total\": 0}, \"status\": \"running\", \"project_id\": 3, \"last_pipeline\": {\"id\": 9613, \"iid\": 498, \"project_id\": 3, \"sha\": \"a19a8ee0f8c161c03da41a9f644071ac4f287c38\", \"ref\": \"main\", \"status\": \"running\", \"source\": \"push\", \"created_at\": \"2023-11-12T13:42:12.956Z\", \"updated_at\": \"2023-11-12T13:42:13.588Z\", \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/pipelines/9613\"}, \"job_web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9864\", \"job_log_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9864/raw\"}}\\n'"
]
},
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -364,7 +280,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 20,
"id": "f108f96f-3601-4d23-a159-108287110eb2",
"metadata": {
"tags": []
@@ -374,20 +290,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "submitting 10S_060W\n",
- "ae7d1182-b95a-4370-b725-1dab61998c2e\n",
- "submitting 10S_050W\n",
- "ae779402-a2c1-45e7-93ca-36eb62dc60a6\n",
- "submitting 10S_070W\n",
- "dfcdc96f-80fc-4cf5-b29e-c41ce6fd1e69\n"
+ "submitting 10N_120E\n",
+ "81968e86-2f02-4396-8448-5201a310598b\n"
]
}
],
"source": [
- "Desired_output_folder = '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/'\n",
+ "Desired_output_folder = '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/IPCC_classes'\n",
"if not os.path.exists(Desired_output_folder):\n",
" os.mkdir(Desired_output_folder)\n",
- "TILES = [\"00N_000E\",\"00N_010E\",\"00N_020E\",\"00N_030E\",\"00N_040E\",\"00N_040W\",\"00N_050E\",\"00N_050W\",\"00N_060W\",\"00N_070E\",\"00N_070W\",\"00N_080W\",\"00N_090E\",\"00N_090W\",\"00N_100E\",\"00N_100W\",\"00N_110E\",\"00N_120E\",\"00N_130E\",\"00N_140E\",\"00N_150E\",\"00N_160E\",\"00N_170E\",\"10N_000E\",\"10N_010E\",\"10N_010W\",\"10N_020E\",\"10N_020W\",\"10N_030E\",\"10N_040E\",\"10N_050E\",\"10N_050W\",\"10N_060W\",\"10N_070E\",\"10N_070W\",\"10N_080E\",\"10N_080W\",\"10N_090E\",\"10N_090W\",\"10N_100E\",\"10N_100W\",\"10N_110E\",\"10N_120E\",\"10N_130E\",\"10N_150E\",\"10N_160E\",\"10N_170E\",\"10S_010E\",\"10S_020E\",\"10S_030E\",\"10S_040E\",\"10S_040W\",\"10S_050E\",\"10S_050W\",\"10S_060W\",\"10S_070W\",\"10S_080W\",\"10S_110E\",\"10S_120E\",\"10S_130E\",\"10S_140E\",\"10S_150E\",\"10S_160E\",\"10S_170E\",\"10S_180W\",\"20N_000E\",\"20N_010E\",\"20N_010W\",\"20N_020E\",\"20N_020W\",\"20N_030E\",\"20N_030W\",\"20N_040E\",\"20N_050E\",\"20N_060W\",\"20N_070E\",\"20N_070W\",\"20N_080E\",\"20N_080W\",\"20N_090E\",\"20N_090W\",\"20N_100E\",\"20N_100W\",\"20N_110E\",\"20N_110W\",\"20N_120E\",\"20N_120W\",\"20N_160W\",\"20S_010E\",\"20S_020E\",\"20S_030E\",\"20S_040E\",\"20S_050E\",\"20S_050W\",\"20S_060W\",\"20S_070W\",\"20S_080W\",\"20S_110E\",\"20S_120E\",\"20S_130E\",\"20S_140E\",\"20S_150E\",\"20S_160E\",\"20S_180W\",\"30N_000E\",\"30N_010E\",\"30N_010W\",\"30N_020E\",\"30N_020W\",\"30N_030E\",\"30N_040E\",\"30N_050E\",\"30N_060E\",\"30N_070E\",\"30N_080E\",\"30N_080W\",\"30N_090E\",\"30N_090W\",\"30N_100E\",\"30N_100W\",\"30N_110E\",\"30N_110W\",\"30N_120E\",\"30N_120W\",\"30N_130E\",\"30N_160W\",\"30N_170W\",\"30S_010E\",\"30S_020E\",\"30S_030E\",\"30S_060W\",\"30S_070W\",\"30S_080W\",\"30S_110E\",\"30S_120E\",\"30S_130E\",\"30S_140E\",\"30S_150E\",\"30S_170E\",\"40N_000E\",\"40N_010E\",\"40N_010W\",\"40N_020E\",\"40N_020W\",\"40N_030E\",\"40N_040E\",\"40N_050E\",\"40N_060E\",\"40N_070E\",\"40N_070W\",\"40N_080E\",\"40N_080W\",\"40N_090E\",\"40N_090W\",\"40N_100E\",\"40N_100W\",\"40N_110E\",\"40N_110W\",\"40N_120E\",\"40N_120W\",\"40N_130E\",\"40N_130W\",\"40N_140E\",\"40S_070W\",\"40S_080W\",\"40S_140E\",\"40S_160E\",\"40S_170E\",\"50N_000E\",\"50N_010E\",\"50N_010W\",\"50N_020E\",\"50N_030E\",\"50N_040E\",\"50N_050E\",\"50N_060E\",\"50N_060W\",\"50N_070E\",\"50N_070W\",\"50N_080E\",\"50N_080W\",\"50N_090E\",\"50N_090W\",\"50N_100E\",\"50N_100W\",\"50N_110E\",\"50N_110W\",\"50N_120E\",\"50N_120W\",\"50N_130E\",\"50N_130W\",\"50N_140E\",\"50N_150E\",\"50S_060W\",\"50S_070W\",\"50S_080W\",\"60N_000E\",\"60N_010E\",\"60N_010W\",\"60N_020E\",\"60N_020W\",\"60N_030E\",\"60N_040E\",\"60N_050E\",\"60N_060E\",\"60N_060W\",\"60N_070E\",\"60N_070W\",\"60N_080E\",\"60N_080W\",\"60N_090E\",\"60N_090W\",\"60N_100E\",\"60N_100W\",\"60N_110E\",\"60N_110W\",\"60N_120E\",\"60N_120W\",\"60N_130E\",\"60N_130W\",\"60N_140E\",\"60N_140W\",\"60N_150E\",\"60N_150W\",\"60N_160E\",\"60N_160W\",\"60N_170E\",\"60N_170W\",\"60N_180W\",\"70N_000E\",\"70N_010E\",\"70N_020E\",\"70N_030E\",\"70N_040E\",\"70N_050E\",\"70N_060E\",\"70N_070E\",\"70N_070W\",\"70N_080E\",\"70N_080W\",\"70N_090E\",\"70N_090W\",\"70N_100E\",\"70N_100W\",\"70N_110E\",\"70N_110W\",\"70N_120E\",\"70N_120W\",\"70N_130E\",\"70N_130W\",\"70N_140E\",\"70N_140W\",\"70N_150E\",\"70N_150W\",\"70N_160E\",\"70N_160W\",\"70N_170E\",\"70N_170W\",\"80N_010E\",\"80N_020E\",\"80N_030E\",\"80N_070E\",\"80N_080E\",\"80N_090E\",\"80N_100E\",\"80N_110E\",\"80N_120E\",\"80N_130E\",\"80N_130W\",\"80N_140E\",\"80N_140W\",\"80N_150E\",\"80N_150W\",\"80N_160E\",\"80N_160W\",\"80N_170W\"]\n",
+ "TILES = [\"00N_000E\",\"00N_010E\",\"00N_020E\",\"00N_030E\",\"00N_040E\",\"00N_040W\",\"00N_050W\",\"00N_060W\",\"00N_070W\",\"00N_080W\",\"00N_090E\",\"00N_090W\",\"00N_100E\",\"00N_110E\",\"00N_120E\",\"00N_130E\",\"00N_140E\",\"00N_150E\",\"00N_160E\",\"10N_000E\",\"10N_010E\",\"10N_010W\",\"10N_020E\",\"10N_020W\",\"10N_030E\",\"10N_040E\",\"10N_050E\",\"10N_050W\",\"10N_060W\",\"10N_070E\",\"10N_070W\",\"10N_080E\",\"10N_080W\",\"10N_090E\",\"10N_090W\",\"10N_100E\",\"10N_110E\",\"10N_120E\",\"10N_130E\",\"10S_010E\",\"10S_020E\",\"10S_030E\",\"10S_040E\",\"10S_040W\",\"10S_050E\",\"10S_050W\",\"10S_060W\",\"10S_070W\",\"10S_080W\",\"10S_110E\",\"10S_120E\",\"10S_130E\",\"10S_140E\",\"10S_150E\",\"10S_160E\",\"10S_170E\",\"20N_000E\",\"20N_010E\",\"20N_010W\",\"20N_020E\",\"20N_020W\",\"20N_030E\",\"20N_040E\",\"20N_050E\",\"20N_060W\",\"20N_070E\",\"20N_070W\",\"20N_080E\",\"20N_080W\",\"20N_090E\",\"20N_090W\",\"20N_100E\",\"20N_100W\",\"20N_110E\",\"20N_110W\",\"20N_120E\",\"20N_160W\",\"20S_010E\",\"20S_020E\",\"20S_030E\",\"20S_040E\",\"20S_050W\",\"20S_060W\",\"20S_070W\",\"20S_080W\",\"20S_110E\",\"20S_120E\",\"20S_130E\",\"20S_140E\",\"20S_150E\",\"20S_160E\",\"30N_000E\",\"30N_010E\",\"30N_010W\",\"30N_020E\",\"30N_020W\",\"30N_030E\",\"30N_040E\",\"30N_050E\",\"30N_060E\",\"30N_070E\",\"30N_080E\",\"30N_080W\",\"30N_090E\",\"30N_090W\",\"30N_100E\",\"30N_100W\",\"30N_110E\",\"30N_110W\",\"30N_120E\",\"30N_120W\",\"30N_130E\",\"30N_160W\",\"30N_170W\",\"30S_010E\",\"30S_020E\",\"30S_030E\",\"30S_060W\",\"30S_070W\",\"30S_080W\",\"30S_110E\",\"30S_120E\",\"30S_130E\",\"30S_140E\",\"30S_150E\",\"30S_170E\",\"40N_000E\",\"40N_010E\",\"40N_010W\",\"40N_020E\",\"40N_020W\",\"40N_030E\",\"40N_040E\",\"40N_050E\",\"40N_060E\",\"40N_070E\",\"40N_080E\",\"40N_080W\",\"40N_090E\",\"40N_090W\",\"40N_100E\",\"40N_100W\",\"40N_110E\",\"40N_110W\",\"40N_120E\",\"40N_120W\",\"40N_130E\",\"40N_130W\",\"40N_140E\",\"40S_070W\",\"40S_080W\",\"40S_140E\",\"40S_160E\",\"40S_170E\",\"50N_000E\",\"50N_010E\",\"50N_010W\",\"50N_020E\",\"50N_030E\",\"50N_040E\",\"50N_050E\",\"50N_060E\",\"50N_060W\",\"50N_070E\",\"50N_070W\",\"50N_080E\",\"50N_080W\",\"50N_090E\",\"50N_090W\",\"50N_100E\",\"50N_100W\",\"50N_110E\",\"50N_110W\",\"50N_120E\",\"50N_120W\",\"50N_130E\",\"50N_130W\",\"50N_140E\",\"50N_150E\",\"50S_070W\",\"50S_080W\",\"60N_000E\",\"60N_010E\",\"60N_010W\",\"60N_020E\",\"60N_020W\",\"60N_030E\",\"60N_040E\",\"60N_050E\",\"60N_060E\",\"60N_060W\",\"60N_070E\",\"60N_070W\",\"60N_080E\",\"60N_080W\",\"60N_090E\",\"60N_090W\",\"60N_100E\",\"60N_100W\",\"60N_110E\",\"60N_110W\",\"60N_120E\",\"60N_120W\",\"60N_130E\",\"60N_130W\",\"60N_140E\",\"60N_140W\",\"60N_150E\",\"60N_150W\",\"60N_160E\",\"60N_160W\",\"60N_170E\",\"60N_170W\",\"60N_180W\",\"70N_000E\",\"70N_010E\",\"70N_020E\",\"70N_030E\",\"70N_040E\",\"70N_050E\",\"70N_060E\",\"70N_070E\",\"70N_070W\",\"70N_080E\",\"70N_080W\",\"70N_090E\",\"70N_090W\",\"70N_100E\",\"70N_100W\",\"70N_110E\",\"70N_110W\",\"70N_120E\",\"70N_120W\",\"70N_130E\",\"70N_130W\",\"70N_140E\",\"70N_140W\",\"70N_150E\",\"70N_150W\",\"70N_160E\",\"70N_160W\",\"70N_170E\",\"70N_170W\",\"80N_010E\",\"80N_020E\",\"80N_030E\",\"80N_070E\",\"80N_080E\",\"80N_090E\",\"80N_100E\",\"80N_110E\",\"80N_120E\",\"80N_130E\",\"80N_130W\",\"80N_140E\",\"80N_140W\",\"80N_150E\",\"80N_150W\",\"80N_160E\",\"80N_160W\",\"80N_170W\"]\n",
"\n",
"i = 0\n",
"count = -1\n",
@@ -397,6 +309,7 @@
"\n",
"for TILE in TILES: \n",
" if not os.path.exists(os.path.join(Desired_output_folder,TILE + \"_IPCC_classes.tif\")): \n",
+ " time.sleep(15)\n",
" print(\"submitting \" + TILE)\n",
" count +=1\n",
" submit_result = maap.submitJob(identifier=\"IPCC_classes_ADE\", \n",
@@ -436,7 +349,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 21,
"id": "powered-tutorial",
"metadata": {
"tags": []
@@ -447,33 +360,9 @@
"output_type": "stream",
"text": [
"Moving files...\n",
- "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/05/20/367134/30S_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/15/763050/20S_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/31/622199/00N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/07/14/919045/30S_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/08/00/237491/20N_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/10/07/492400/10N_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/12/34/688362/40N_050E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/16/30/919488/10S_120E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/27/619707/10N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/54/853651/40N_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/20/32/877816/00N_040W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/21/21/324573/30S_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/24/19/323814/00N_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/26/10/286997/20S_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/27/22/931193/20N_010W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/28/19/926391/40N_010W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/29/50/608409/40N_120W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/30/33/337550/30S_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/532329/20S_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/941488/30N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/11/750928/20N_070E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/37/253103/30S_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/33/12/909140/10S_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/36/751966/70N_070E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/46/560224/60N_140W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/56/641981/40N_110W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/22/234667/10N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/36/527951/60N_070E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/42/771597/60N_000E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/46/436789/20N_020W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/58/055939/70N_150W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/47/116340/70N_130W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/49/118411/40S_170E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/03/357399/10N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/04/438809/20S_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/05/709133/10S_040E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/26/719810/00N_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/27/731608/70N_060E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/42/834958/10S_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/455296/00N_120E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/893244/50N_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/07/233756/20S_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/17/874136/60N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/24/120470/60N_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/49/102093/40N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/13/969520/10S_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/32/323082/20S_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/44/228128/60N_050E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/59/740786/30N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/07/859776/50N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/16/669082/60N_020E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/773282/60N_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/39/461510/50N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/47/841622/20N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/56/383866/70N_040E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/00/848295/40N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/04/674172/00N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/09/925692/00N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/27/815482/10S_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/58/573190/70N_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/03/593399/60N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/11/293073/60N_110W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/28/002974/70N_080E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/36/434559/20N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/40/892616/70N_150E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/44/908943/70N_090E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/46/583267/20N_090W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/15/683764/70N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/28/599472/00N_050W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/41/088857/70N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/48/142073/00N_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/10/543607/60N_130E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/12/912349/00N_140E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/17/425895/10N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/58/266916/30N_110E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/01/915588/10N_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/03/937291/40N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/16/898323/60N_100W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/28/288301/60N_120E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/33/066675/20S_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/49/655546/20N_100E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/55/750103/00N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/01/275866/10N_010W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/08/837055/60N_130W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/10/381060/50N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/12/029251/10S_020E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/30/566995/10N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/48/867025/00N_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/083931/10S_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/219773/10S_030E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/03/259272/10N_080W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/11/128533/00N_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/18/038705/10S_070W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/19/376110/00N_060W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/27/776675/40N_090W_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/214486/10N_010E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/486795/10N_020E_Age_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/54/03/557304/30N_100E_Age_classes.tif']\n",
+ "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE_v2/IPCC_classes_ADE/2023/11/12/10/11/11/290933/10N_120E_Age_classes.tif']\n",
"Moving files...\n",
- "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/05/20/367134/30S_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/15/763050/20S_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/06/31/622199/00N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/07/14/919045/30S_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/08/00/237491/20N_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/10/07/492400/10N_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/12/34/688362/40N_050E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/16/30/919488/10S_120E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/27/619707/10N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/19/54/853651/40N_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/20/32/877816/00N_040W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/21/21/324573/30S_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/24/19/323814/00N_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/26/10/286997/20S_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/27/22/931193/20N_010W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/28/19/926391/40N_010W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/29/50/608409/40N_120W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/30/33/337550/30S_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/532329/20S_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/31/54/941488/30N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/11/750928/20N_070E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/32/37/253103/30S_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/33/12/909140/10S_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/36/751966/70N_070E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/46/560224/60N_140W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/39/56/641981/40N_110W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/22/234667/10N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/36/527951/60N_070E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/42/771597/60N_000E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/46/436789/20N_020W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/40/58/055939/70N_150W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/47/116340/70N_130W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/41/49/118411/40S_170E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/03/357399/10N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/04/438809/20S_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/05/709133/10S_040E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/26/719810/00N_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/27/731608/70N_060E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/42/834958/10S_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/455296/00N_120E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/42/46/893244/50N_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/07/233756/20S_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/17/874136/60N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/24/120470/60N_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/43/49/102093/40N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/13/969520/10S_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/32/323082/20S_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/44/228128/60N_050E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/44/59/740786/30N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/07/859776/50N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/16/669082/60N_020E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/773282/60N_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/39/461510/50N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/47/841622/20N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/56/383866/70N_040E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/00/848295/40N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/04/674172/00N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/09/925692/00N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/27/815482/10S_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/46/58/573190/70N_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/03/593399/60N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/11/293073/60N_110W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/28/002974/70N_080E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/36/434559/20N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/40/892616/70N_150E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/44/908943/70N_090E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/47/46/583267/20N_090W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/15/683764/70N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/28/599472/00N_050W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/41/088857/70N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/48/48/142073/00N_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/10/543607/60N_130E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/12/912349/00N_140E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/17/425895/10N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/49/58/266916/30N_110E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/01/915588/10N_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/03/937291/40N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/16/898323/60N_100W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/28/288301/60N_120E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/33/066675/20S_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/49/655546/20N_100E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/50/55/750103/00N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/01/275866/10N_010W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/08/837055/60N_130W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/10/381060/50N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/12/029251/10S_020E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/30/566995/10N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/48/867025/00N_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/083931/10S_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/51/52/219773/10S_030E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/03/259272/10N_080W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/11/128533/00N_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/52/18/038705/10S_070W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/19/376110/00N_060W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/27/776675/40N_090W_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/214486/10N_010E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/53/42/486795/10N_020E_IPCC_classes.tif', '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/54/03/557304/30N_100E_IPCC_classes.tif']\n"
- ]
- },
- {
- "ename": "OSError",
- "evalue": "[Errno 107] Transport endpoint is not connected",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:816\u001b[0m, in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m 815\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 816\u001b[0m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrename\u001b[49m\u001b[43m(\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreal_dst\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 817\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m:\n",
- "\u001b[0;31mOSError\u001b[0m: [Errno 18] Invalid cross-device link: '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_IPCC_classes.tif' -> '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_COG/IPCC_classes/50N_120W_IPCC_classes.tif'",
- "\nDuring handling of the above exception, another exception occurred:\n",
- "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:267\u001b[0m, in \u001b[0;36mcopyfile\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m 266\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 267\u001b[0m \u001b[43m_fastcopy_sendfile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfsrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfdst\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 268\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m dst\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:162\u001b[0m, in \u001b[0;36m_fastcopy_sendfile\u001b[0;34m(fsrc, fdst)\u001b[0m\n\u001b[1;32m 160\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m _GiveupOnFastCopy(err)\n\u001b[0;32m--> 162\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m err\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:142\u001b[0m, in \u001b[0;36m_fastcopy_sendfile\u001b[0;34m(fsrc, fdst)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 142\u001b[0m sent \u001b[38;5;241m=\u001b[39m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msendfile\u001b[49m\u001b[43m(\u001b[49m\u001b[43moutfd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minfd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moffset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mblocksize\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 143\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m 144\u001b[0m \u001b[38;5;66;03m# ...in oder to have a more informative exception.\u001b[39;00m\n",
- "\u001b[0;31mOSError\u001b[0m: [Errno 107] Transport endpoint is not connected: '/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE/IPCC_classes_ADE/2023/11/10/03/45/33/164706/50N_120W_IPCC_classes.tif' -> '/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_COG/IPCC_classes/50N_120W_IPCC_classes.tif'",
- "\nDuring handling of the above exception, another exception occurred:\n",
- "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[6], line 20\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m each_file \u001b[38;5;129;01min\u001b[39;00m SUMMARY_files_tifs:\n\u001b[1;32m 19\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mexists(each_file) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mexists(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(Desired_output_folder,os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mbasename(each_file))): \n\u001b[0;32m---> 20\u001b[0m \u001b[43mshutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmove\u001b[49m\u001b[43m(\u001b[49m\u001b[43meach_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mDesired_output_folder\u001b[49m\u001b[43m)\u001b[49m\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:836\u001b[0m, in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m 834\u001b[0m rmtree(src)\n\u001b[1;32m 835\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 836\u001b[0m \u001b[43mcopy_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreal_dst\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 837\u001b[0m os\u001b[38;5;241m.\u001b[39munlink(src)\n\u001b[1;32m 838\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m real_dst\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:434\u001b[0m, in \u001b[0;36mcopy2\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m 432\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39misdir(dst):\n\u001b[1;32m 433\u001b[0m dst \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(dst, os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mbasename(src))\n\u001b[0;32m--> 434\u001b[0m \u001b[43mcopyfile\u001b[49m\u001b[43m(\u001b[49m\u001b[43msrc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdst\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfollow_symlinks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_symlinks\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 435\u001b[0m copystat(src, dst, follow_symlinks\u001b[38;5;241m=\u001b[39mfollow_symlinks)\n\u001b[1;32m 436\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m dst\n",
- "File \u001b[0;32m/opt/conda/lib/python3.10/shutil.py:254\u001b[0m, in \u001b[0;36mcopyfile\u001b[0;34m(src, dst, follow_symlinks)\u001b[0m\n\u001b[1;32m 252\u001b[0m os\u001b[38;5;241m.\u001b[39msymlink(os\u001b[38;5;241m.\u001b[39mreadlink(src), dst)\n\u001b[1;32m 253\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 254\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(src, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m fsrc:\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 256\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(dst, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwb\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m fdst:\n\u001b[1;32m 257\u001b[0m \u001b[38;5;66;03m# macOS\u001b[39;00m\n",
- "\u001b[0;31mOSError\u001b[0m: [Errno 107] Transport endpoint is not connected"
+ "['/projects/my-private-bucket/dps_output/run_IPCC_classes_ADE/IPCC_classes_ADE_v2/IPCC_classes_ADE/2023/11/12/10/11/11/290933/10N_120E_IPCC_classes.tif']\n"
]
}
],
@@ -500,6 +389,26 @@
" shutil.move(each_file, Desired_output_folder)"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "dad17a0f-6916-47b6-b81c-4b1aeea0d24d",
+ "metadata": {},
+ "source": [
+ "### ZIP TO SHARE - RUN COMMANDS ON TERMINAL"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "281e5abc-61f7-4b6a-9780-66bbfe1e392e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "zip -0 /projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/IPCC_classes_v6_COG.zip *IPCC*\n",
+ "zip -0 /projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_COG/Age_classes_v6_COG.zip *Age*\n",
+ "zip -0 /projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/IPCC_classes_v6_GPKG.zip *gpkg*"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
diff --git a/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.py b/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.py
index 453a091..97fda86 100644
--- a/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.py
+++ b/country_summaries/IPCC_classes_DPS/IPCC_GEDI_Table4.7.py
@@ -183,7 +183,7 @@ MASK = PRIMARY + YOUNG + OLD
EcoCont = rasterio.open(args.EcoCont).read(1)
kwargs = rasterio.open(args.EcoCont).meta
kwargs.update(dtype=rasterio.uint16,count=1,compress='lzw')
-kwargs.update(driver='COG')
+# kwargs.update(driver='COG')
EcoCont = EcoCont + (MASK*100)
BASE = rasterio.open(args.EcoCont).read(1)
EcoCont[EcoCont == BASE] = 0
diff --git a/country_summaries/IPCC_classes_DPS/IPCC_raster_post_processing.ipynb b/country_summaries/IPCC_classes_DPS/IPCC_raster_post_processing.ipynb
index 2e9ddf6..9870379 100644
--- a/country_summaries/IPCC_classes_DPS/IPCC_raster_post_processing.ipynb
+++ b/country_summaries/IPCC_classes_DPS/IPCC_raster_post_processing.ipynb
@@ -2,12 +2,212 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 133,
+ "execution_count": 1,
"id": "3a0d4259-6e15-4a77-8bea-879b3c3b9ed4",
"metadata": {
+ "collapsed": true,
+ "jupyter": {
+ "outputs_hidden": true
+ },
"tags": []
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Loading required package: viridis\n",
+ "\n",
+ "Loading required package: viridisLite\n",
+ "\n",
+ "Loading required package: tidyverse\n",
+ "\n",
+ "── \u001b[1mAttaching core tidyverse packages\u001b[22m ──────────────────────── tidyverse 2.0.0 ──\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mdplyr \u001b[39m 1.1.2 \u001b[32m✔\u001b[39m \u001b[34mreadr \u001b[39m 2.1.4\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mforcats \u001b[39m 1.0.0 \u001b[32m✔\u001b[39m \u001b[34mstringr \u001b[39m 1.5.0\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mggplot2 \u001b[39m 3.4.2 \u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 3.2.1\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mlubridate\u001b[39m 1.9.2 \u001b[32m✔\u001b[39m \u001b[34mtidyr \u001b[39m 1.3.0\n",
+ "\u001b[32m✔\u001b[39m \u001b[34mpurrr \u001b[39m 1.0.1 \n",
+ "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m masks \u001b[34mstats\u001b[39m::lag()\n",
+ "\u001b[36mℹ\u001b[39m Use the conflicted package (\u001b[3m\u001b[34m<http://conflicted.r-lib.org/>\u001b[39m\u001b[23m) to force all conflicts to become errors\n",
+ "Loading required package: raster\n",
+ "\n",
+ "Loading required package: sp\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘raster’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:dplyr’:\n",
+ "\n",
+ " select\n",
+ "\n",
+ "\n",
+ "Loading required package: rgdal\n",
+ "\n",
+ "Please note that rgdal will be retired during 2023,\n",
+ "plan transition to sf/stars/terra functions using GDAL and PROJ\n",
+ "at your earliest convenience.\n",
+ "See https://r-spatial.org/r/2022/04/12/evolution.html and https://github.com/r-spatial/evolution\n",
+ "rgdal: version: 1.6-6, (SVN revision 1201)\n",
+ "Geospatial Data Abstraction Library extensions to R successfully loaded\n",
+ "Loaded GDAL runtime: GDAL 3.6.2, released 2023/01/02\n",
+ "Path to GDAL shared files: /opt/conda/share/gdal\n",
+ " GDAL does not use iconv for recoding strings.\n",
+ "GDAL binary built with GEOS: TRUE \n",
+ "Loaded PROJ runtime: Rel. 9.1.0, September 1st, 2022, [PJ_VERSION: 910]\n",
+ "Path to PROJ shared files: /projects/.local/share/proj:/opt/conda/share/proj\n",
+ "PROJ CDN enabled: FALSE\n",
+ "Linking to sp version:1.6-0\n",
+ "To mute warnings of possible GDAL/OSR exportToProj4() degradation,\n",
+ "use options(\"rgdal_show_exportToProj4_warnings\"=\"none\") before loading sp or rgdal.\n",
+ "\n",
+ "Loading required package: terra\n",
+ "\n",
+ "terra 1.7.29\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘terra’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:rgdal’:\n",
+ "\n",
+ " project\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:tidyr’:\n",
+ "\n",
+ " extract\n",
+ "\n",
+ "\n",
+ "Loading required package: rgeos\n",
+ "\n",
+ "rgeos version: 0.6-2, (SVN revision 693)\n",
+ " GEOS runtime version: 3.11.1-CAPI-1.17.1 \n",
+ " Please note that rgeos will be retired during 2023,\n",
+ "plan transition to sf functions using GEOS at your earliest convenience.\n",
+ " GEOS using OverlayNG\n",
+ " Linking to sp version: 1.6-0 \n",
+ " Polygon checking: TRUE \n",
+ "\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘rgeos’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:dplyr’:\n",
+ "\n",
+ " symdiff\n",
+ "\n",
+ "\n",
+ "Loading required package: geosphere\n",
+ "\n",
+ "Loading required package: RColorBrewer\n",
+ "\n",
+ "Loading required package: gdalUtils\n",
+ "\n",
+ "Loading required package: parallel\n",
+ "\n",
+ "Loading required package: snow\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘snow’\n",
+ "\n",
+ "\n",
+ "The following objects are masked from ‘package:parallel’:\n",
+ "\n",
+ " clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,\n",
+ " clusterExport, clusterMap, clusterSplit, makeCluster, parApply,\n",
+ " parCapply, parLapply, parRapply, parSapply, splitIndices,\n",
+ " stopCluster\n",
+ "\n",
+ "\n",
+ "Loading required package: maptools\n",
+ "\n",
+ "Please note that 'maptools' will be retired during October 2023,\n",
+ "plan transition at your earliest convenience (see\n",
+ "https://r-spatial.org/r/2023/05/15/evolution4.html and earlier blogs\n",
+ "for guidance);some functionality will be moved to 'sp'.\n",
+ " Checking rgeos availability: TRUE\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘maptools’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:sp’:\n",
+ "\n",
+ " sp2Mondrian\n",
+ "\n",
+ "\n",
+ "Loading required package: scales\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘scales’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:terra’:\n",
+ "\n",
+ " rescale\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:purrr’:\n",
+ "\n",
+ " discard\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:readr’:\n",
+ "\n",
+ " col_factor\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:viridis’:\n",
+ "\n",
+ " viridis_pal\n",
+ "\n",
+ "\n",
+ "Loading required package: sf\n",
+ "\n",
+ "Linking to GEOS 3.11.1, GDAL 3.6.2, PROJ 9.1.0; sf_use_s2() is TRUE\n",
+ "\n",
+ "\n",
+ "Attaching package: ‘sf’\n",
+ "\n",
+ "\n",
+ "The following object is masked from ‘package:gdalUtils’:\n",
+ "\n",
+ " gdal_rasterize\n",
+ "\n",
+ "\n",
+ "Loading required package: foreign\n",
+ "\n",
+ "Loading required package: aws.s3\n",
+ "\n",
+ "Loading required package: aws.ec2metadata\n",
+ "\n",
+ "Setting environment variable AWS_DEFAULT_REGION to 'us-west-2'\n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mscales\u001b[39m::\u001b[32mcol_factor()\u001b[39m masks \u001b[34mreadr\u001b[39m::col_factor()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mscales\u001b[39m::\u001b[32mdiscard()\u001b[39m masks \u001b[34mpurrr\u001b[39m::discard()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mterra\u001b[39m::\u001b[32mextract()\u001b[39m masks \u001b[34mraster\u001b[39m::extract(), \u001b[34mtidyr\u001b[39m::extract()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m masks \u001b[34mstats\u001b[39m::lag()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mraster\u001b[39m::\u001b[32mselect()\u001b[39m masks \u001b[34mdplyr\u001b[39m::select()\n",
+ "\u001b[31m✖\u001b[39m \u001b[34mrgeos\u001b[39m::\u001b[32msymdiff()\u001b[39m masks \u001b[34mdplyr\u001b[39m::symdiff()\n",
+ "\u001b[36mℹ\u001b[39m Use the conflicted package (\u001b[3m\u001b[34m<http://conflicted.r-lib.org/>\u001b[39m\u001b[23m) to force all conflicts to become errors"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"####### POST PROCESSING OF 30 m IPCC forest classes RASTERS ############\n",
"####### POST PROCESSING OF 30 m IPCC forest classes RASTERS ############\n",
@@ -25,12 +225,13 @@
" library(x, character.only = TRUE, quietly=TRUE)\n",
" library(geojsonio)\n",
" }\n",
- "})"
+ "})\n",
+ "tidyverse_conflicts(only = NULL)"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"id": "1c069e40-d8d4-4320-ae9e-0f99652a5a5b",
"metadata": {
"collapsed": true,
@@ -44,2386 +245,2243 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " [1] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_000E_IPCC_classes_1km.gpkg\"\n",
- " [2] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_010E_IPCC_classes_1km.gpkg\"\n",
- " [3] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_020E_IPCC_classes_1km.gpkg\"\n",
- " [4] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_030E_IPCC_classes_1km.gpkg\"\n",
- " [5] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040E_IPCC_classes_1km.gpkg\"\n",
- " [6] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040W_IPCC_classes_1km.gpkg\"\n",
- " [7] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_050W_IPCC_classes_1km.gpkg\"\n",
- " [8] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_060W_IPCC_classes_1km.gpkg\"\n",
- " [9] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_070W_IPCC_classes_1km.gpkg\"\n",
- " [10] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_080W_IPCC_classes_1km.gpkg\"\n",
- " [11] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090E_IPCC_classes_1km.gpkg\"\n",
- " [12] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090W_IPCC_classes_1km.gpkg\"\n",
- " [13] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_100E_IPCC_classes_1km.gpkg\"\n",
- " [14] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_110E_IPCC_classes_1km.gpkg\"\n",
- " [15] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_120E_IPCC_classes_1km.gpkg\"\n",
- " [16] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_130E_IPCC_classes_1km.gpkg\"\n",
- " [17] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_140E_IPCC_classes_1km.gpkg\"\n",
- " [18] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_150E_IPCC_classes_1km.gpkg\"\n",
- " [19] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_160E_IPCC_classes_1km.gpkg\"\n",
- " [20] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_000E_IPCC_classes_1km.gpkg\"\n",
- " [21] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010E_IPCC_classes_1km.gpkg\"\n",
- " [22] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010W_IPCC_classes_1km.gpkg\"\n",
- " [23] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020E_IPCC_classes_1km.gpkg\"\n",
- " [24] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020W_IPCC_classes_1km.gpkg\"\n",
- " [25] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_030E_IPCC_classes_1km.gpkg\"\n",
- " [26] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_040E_IPCC_classes_1km.gpkg\"\n",
- " [27] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_050W_IPCC_classes_1km.gpkg\"\n",
- " [28] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_060W_IPCC_classes_1km.gpkg\"\n",
- " [29] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070E_IPCC_classes_1km.gpkg\"\n",
- " [30] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070W_IPCC_classes_1km.gpkg\"\n",
- " [31] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080E_IPCC_classes_1km.gpkg\"\n",
- " [32] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080W_IPCC_classes_1km.gpkg\"\n",
- " [33] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090E_IPCC_classes_1km.gpkg\"\n",
- " [34] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090W_IPCC_classes_1km.gpkg\"\n",
- " [35] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_100E_IPCC_classes_1km.gpkg\"\n",
- " [36] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_110E_IPCC_classes_1km.gpkg\"\n",
- " [37] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_120E_IPCC_classes_1km.gpkg\"\n",
- " [38] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_130E_IPCC_classes_1km.gpkg\"\n",
- " [39] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_010E_IPCC_classes_1km.gpkg\"\n",
- " [40] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_020E_IPCC_classes_1km.gpkg\"\n",
- " [41] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_030E_IPCC_classes_1km.gpkg\"\n",
- " [42] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040E_IPCC_classes_1km.gpkg\"\n",
- " [43] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040W_IPCC_classes_1km.gpkg\"\n",
- " [44] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050E_IPCC_classes_1km.gpkg\"\n",
- " [45] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050W_IPCC_classes_1km.gpkg\"\n",
- " [46] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_060W_IPCC_classes_1km.gpkg\"\n",
- " [47] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_070W_IPCC_classes_1km.gpkg\"\n",
- " [48] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_080W_IPCC_classes_1km.gpkg\"\n",
- " [49] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_110E_IPCC_classes_1km.gpkg\"\n",
- " [50] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_120E_IPCC_classes_1km.gpkg\"\n",
- " [51] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_130E_IPCC_classes_1km.gpkg\"\n",
- " [52] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_140E_IPCC_classes_1km.gpkg\"\n",
- " [53] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_150E_IPCC_classes_1km.gpkg\"\n",
- " [54] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_160E_IPCC_classes_1km.gpkg\"\n",
- " [55] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_170E_IPCC_classes_1km.gpkg\"\n",
- " [56] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_000E_IPCC_classes_1km.gpkg\"\n",
- " [57] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010E_IPCC_classes_1km.gpkg\"\n",
- " [58] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010W_IPCC_classes_1km.gpkg\"\n",
- " [59] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020E_IPCC_classes_1km.gpkg\"\n",
- " [60] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020W_IPCC_classes_1km.gpkg\"\n",
- " [61] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_030E_IPCC_classes_1km.gpkg\"\n",
- " [62] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_040E_IPCC_classes_1km.gpkg\"\n",
- " [63] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_050E_IPCC_classes_1km.gpkg\"\n",
- " [64] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_060W_IPCC_classes_1km.gpkg\"\n",
- " [65] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070E_IPCC_classes_1km.gpkg\"\n",
- " [66] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070W_IPCC_classes_1km.gpkg\"\n",
- " [67] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080E_IPCC_classes_1km.gpkg\"\n",
- " [68] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080W_IPCC_classes_1km.gpkg\"\n",
- " [69] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090E_IPCC_classes_1km.gpkg\"\n",
- " [70] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090W_IPCC_classes_1km.gpkg\"\n",
- " [71] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100E_IPCC_classes_1km.gpkg\"\n",
- " [72] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100W_IPCC_classes_1km.gpkg\"\n",
- " [73] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110E_IPCC_classes_1km.gpkg\"\n",
- " [74] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110W_IPCC_classes_1km.gpkg\"\n",
- " [75] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_120E_IPCC_classes_1km.gpkg\"\n",
- " [76] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_160W_IPCC_classes_1km.gpkg\"\n",
- " [77] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_010E_IPCC_classes_1km.gpkg\"\n",
- " [78] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_020E_IPCC_classes_1km.gpkg\"\n",
- " [79] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_030E_IPCC_classes_1km.gpkg\"\n",
- " [80] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_040E_IPCC_classes_1km.gpkg\"\n",
- " [81] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_050W_IPCC_classes_1km.gpkg\"\n",
- " [82] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_060W_IPCC_classes_1km.gpkg\"\n",
- " [83] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_070W_IPCC_classes_1km.gpkg\"\n",
- " [84] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_110E_IPCC_classes_1km.gpkg\"\n",
- " [85] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_140E_IPCC_classes_1km.gpkg\"\n",
- " [86] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_150E_IPCC_classes_1km.gpkg\"\n",
- " [87] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_160E_IPCC_classes_1km.gpkg\"\n",
- " [88] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010E_IPCC_classes_1km.gpkg\"\n",
- " [89] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010W_IPCC_classes_1km.gpkg\"\n",
- " [90] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_020W_IPCC_classes_1km.gpkg\"\n",
- " [91] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_040E_IPCC_classes_1km.gpkg\"\n",
- " [92] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_050E_IPCC_classes_1km.gpkg\"\n",
- " [93] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_060E_IPCC_classes_1km.gpkg\"\n",
- " [94] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_070E_IPCC_classes_1km.gpkg\"\n",
- " [95] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080E_IPCC_classes_1km.gpkg\"\n",
- " [96] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080W_IPCC_classes_1km.gpkg\"\n",
- " [97] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090E_IPCC_classes_1km.gpkg\"\n",
- " [98] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090W_IPCC_classes_1km.gpkg\"\n",
- " [99] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100E_IPCC_classes_1km.gpkg\"\n",
- "[100] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100W_IPCC_classes_1km.gpkg\"\n",
- "[101] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110E_IPCC_classes_1km.gpkg\"\n",
- "[102] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110W_IPCC_classes_1km.gpkg\"\n",
- "[103] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120E_IPCC_classes_1km.gpkg\"\n",
- "[104] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120W_IPCC_classes_1km.gpkg\"\n",
- "[105] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_160W_IPCC_classes_1km.gpkg\"\n",
- "[106] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_170W_IPCC_classes_1km.gpkg\"\n",
- "[107] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_010E_IPCC_classes_1km.gpkg\"\n",
- "[108] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_020E_IPCC_classes_1km.gpkg\"\n",
- "[109] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_030E_IPCC_classes_1km.gpkg\"\n",
- "[110] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_060W_IPCC_classes_1km.gpkg\"\n",
- "[111] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_070W_IPCC_classes_1km.gpkg\"\n",
- "[112] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_080W_IPCC_classes_1km.gpkg\"\n",
- "[113] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_110E_IPCC_classes_1km.gpkg\"\n",
- "[114] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_120E_IPCC_classes_1km.gpkg\"\n",
- "[115] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_130E_IPCC_classes_1km.gpkg\"\n",
- "[116] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_140E_IPCC_classes_1km.gpkg\"\n",
- "[117] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_150E_IPCC_classes_1km.gpkg\"\n",
- "[118] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_170E_IPCC_classes_1km.gpkg\"\n",
- "[119] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_000E_IPCC_classes_1km.gpkg\"\n",
- "[120] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010E_IPCC_classes_1km.gpkg\"\n",
- "[121] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010W_IPCC_classes_1km.gpkg\"\n",
- "[122] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_020E_IPCC_classes_1km.gpkg\"\n",
- "[123] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_030E_IPCC_classes_1km.gpkg\"\n",
- "[124] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_040E_IPCC_classes_1km.gpkg\"\n",
- "[125] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_050E_IPCC_classes_1km.gpkg\"\n",
- "[126] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_060E_IPCC_classes_1km.gpkg\"\n",
- "[127] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_070E_IPCC_classes_1km.gpkg\"\n",
- "[128] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080E_IPCC_classes_1km.gpkg\"\n",
- "[129] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080W_IPCC_classes_1km.gpkg\"\n",
- "[130] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090E_IPCC_classes_1km.gpkg\"\n",
- "[131] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090W_IPCC_classes_1km.gpkg\"\n",
- "[132] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100E_IPCC_classes_1km.gpkg\"\n",
- "[133] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100W_IPCC_classes_1km.gpkg\"\n",
- "[134] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110E_IPCC_classes_1km.gpkg\"\n",
- "[135] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110W_IPCC_classes_1km.gpkg\"\n",
- "[136] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120E_IPCC_classes_1km.gpkg\"\n",
- "[137] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120W_IPCC_classes_1km.gpkg\"\n",
- "[138] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130E_IPCC_classes_1km.gpkg\"\n",
- "[139] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130W_IPCC_classes_1km.gpkg\"\n",
- "[140] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_140E_IPCC_classes_1km.gpkg\"\n",
- "[141] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_070W_IPCC_classes_1km.gpkg\"\n",
- "[142] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_080W_IPCC_classes_1km.gpkg\"\n",
- "[143] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_140E_IPCC_classes_1km.gpkg\"\n",
- "[144] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_160E_IPCC_classes_1km.gpkg\"\n",
- "[145] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_170E_IPCC_classes_1km.gpkg\"\n",
- "[146] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_000E_IPCC_classes_1km.gpkg\"\n",
- "[147] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010E_IPCC_classes_1km.gpkg\"\n",
- "[148] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010W_IPCC_classes_1km.gpkg\"\n",
- "[149] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_020E_IPCC_classes_1km.gpkg\"\n",
- "[150] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_030E_IPCC_classes_1km.gpkg\"\n",
- "[151] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_040E_IPCC_classes_1km.gpkg\"\n",
- "[152] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_050E_IPCC_classes_1km.gpkg\"\n",
- "[153] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060E_IPCC_classes_1km.gpkg\"\n",
- "[154] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060W_IPCC_classes_1km.gpkg\"\n",
- "[155] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070E_IPCC_classes_1km.gpkg\"\n",
- "[156] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070W_IPCC_classes_1km.gpkg\"\n",
- "[157] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080E_IPCC_classes_1km.gpkg\"\n",
- "[158] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080W_IPCC_classes_1km.gpkg\"\n",
- "[159] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090E_IPCC_classes_1km.gpkg\"\n",
- "[160] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090W_IPCC_classes_1km.gpkg\"\n",
- "[161] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100E_IPCC_classes_1km.gpkg\"\n",
- "[162] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100W_IPCC_classes_1km.gpkg\"\n",
- "[163] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110E_IPCC_classes_1km.gpkg\"\n",
- "[164] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110W_IPCC_classes_1km.gpkg\"\n",
- "[165] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120E_IPCC_classes_1km.gpkg\"\n",
- "[166] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120W_IPCC_classes_1km.gpkg\"\n",
- "[167] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130E_IPCC_classes_1km.gpkg\"\n",
- "[168] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130W_IPCC_classes_1km.gpkg\"\n",
- "[169] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_140E_IPCC_classes_1km.gpkg\"\n",
- "[170] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_150E_IPCC_classes_1km.gpkg\"\n",
- "[171] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_070W_IPCC_classes_1km.gpkg\"\n",
- "[172] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_080W_IPCC_classes_1km.gpkg\"\n",
- "[173] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_000E_IPCC_classes_1km.gpkg\"\n",
- "[174] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010E_IPCC_classes_1km.gpkg\"\n",
- "[175] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010W_IPCC_classes_1km.gpkg\"\n",
- "[176] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020E_IPCC_classes_1km.gpkg\"\n",
- "[177] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020W_IPCC_classes_1km.gpkg\"\n",
- "[178] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_030E_IPCC_classes_1km.gpkg\"\n",
- "[179] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_040E_IPCC_classes_1km.gpkg\"\n",
- "[180] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_050E_IPCC_classes_1km.gpkg\"\n",
- "[181] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060E_IPCC_classes_1km.gpkg\"\n",
- "[182] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060W_IPCC_classes_1km.gpkg\"\n",
- "[183] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070E_IPCC_classes_1km.gpkg\"\n",
- "[184] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070W_IPCC_classes_1km.gpkg\"\n",
- "[185] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080E_IPCC_classes_1km.gpkg\"\n",
- "[186] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080W_IPCC_classes_1km.gpkg\"\n",
- "[187] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090E_IPCC_classes_1km.gpkg\"\n",
- "[188] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090W_IPCC_classes_1km.gpkg\"\n",
- "[189] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100E_IPCC_classes_1km.gpkg\"\n",
- "[190] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100W_IPCC_classes_1km.gpkg\"\n",
- "[191] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110E_IPCC_classes_1km.gpkg\"\n",
- "[192] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110W_IPCC_classes_1km.gpkg\"\n",
- "[193] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120E_IPCC_classes_1km.gpkg\"\n",
- "[194] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120W_IPCC_classes_1km.gpkg\"\n",
- "[195] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130E_IPCC_classes_1km.gpkg\"\n",
- "[196] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130W_IPCC_classes_1km.gpkg\"\n",
- "[197] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140E_IPCC_classes_1km.gpkg\"\n",
- "[198] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140W_IPCC_classes_1km.gpkg\"\n",
- "[199] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150E_IPCC_classes_1km.gpkg\"\n",
- "[200] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150W_IPCC_classes_1km.gpkg\"\n",
- "[201] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160E_IPCC_classes_1km.gpkg\"\n",
- "[202] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160W_IPCC_classes_1km.gpkg\"\n",
- "[203] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_000E_IPCC_classes_1km.gpkg\"\n",
- "[204] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_010E_IPCC_classes_1km.gpkg\"\n",
- "[205] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_020E_IPCC_classes_1km.gpkg\"\n",
- "[206] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_030E_IPCC_classes_1km.gpkg\"\n",
- "[207] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_040E_IPCC_classes_1km.gpkg\"\n",
- "[208] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_050E_IPCC_classes_1km.gpkg\"\n",
- "[209] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_060E_IPCC_classes_1km.gpkg\"\n",
- "[210] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_070E_IPCC_classes_1km.gpkg\"\n",
- "[211] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_080E_IPCC_classes_1km.gpkg\"\n",
- "[212] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_090E_IPCC_classes_1km.gpkg\"\n",
- "[213] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100E_IPCC_classes_1km.gpkg\"\n",
- "[214] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100W_IPCC_classes_1km.gpkg\"\n",
- "[215] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110E_IPCC_classes_1km.gpkg\"\n",
- "[216] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110W_IPCC_classes_1km.gpkg\"\n",
- "[217] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120E_IPCC_classes_1km.gpkg\"\n",
- "[218] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120W_IPCC_classes_1km.gpkg\"\n",
- "[219] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130E_IPCC_classes_1km.gpkg\"\n",
- "[220] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130W_IPCC_classes_1km.gpkg\"\n",
- "[221] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140E_IPCC_classes_1km.gpkg\"\n",
- "[222] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140W_IPCC_classes_1km.gpkg\"\n",
- "[223] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150E_IPCC_classes_1km.gpkg\"\n",
- "[224] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150W_IPCC_classes_1km.gpkg\"\n",
- "[225] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160E_IPCC_classes_1km.gpkg\"\n",
- "[226] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160W_IPCC_classes_1km.gpkg\"\n",
- "[227] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170E_IPCC_classes_1km.gpkg\"\n",
- "[228] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170W_IPCC_classes_1km.gpkg\"\n",
- "[229] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_010E_IPCC_classes_1km.gpkg\"\n",
- "[230] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_020E_IPCC_classes_1km.gpkg\"\n",
- "[231] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_030E_IPCC_classes_1km.gpkg\"\n",
- "[232] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_090E_IPCC_classes_1km.gpkg\"\n",
- "[233] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_100E_IPCC_classes_1km.gpkg\"\n",
- "[234] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_110E_IPCC_classes_1km.gpkg\"\n",
- "[235] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_120E_IPCC_classes_1km.gpkg\"\n",
- "[236] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_130E_IPCC_classes_1km.gpkg\"\n",
- "[237] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_140E_IPCC_classes_1km.gpkg\"\n",
+ " [1] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_000E_IPCC_classes_1km.gpkg\"\n",
+ " [2] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_010E_IPCC_classes_1km.gpkg\"\n",
+ " [3] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_020E_IPCC_classes_1km.gpkg\"\n",
+ " [4] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_030E_IPCC_classes_1km.gpkg\"\n",
+ " [5] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040E_IPCC_classes_1km.gpkg\"\n",
+ " [6] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040W_IPCC_classes_1km.gpkg\"\n",
+ " [7] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_050W_IPCC_classes_1km.gpkg\"\n",
+ " [8] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_060W_IPCC_classes_1km.gpkg\"\n",
+ " [9] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_070W_IPCC_classes_1km.gpkg\"\n",
+ " [10] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [11] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [12] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [13] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [14] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [15] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [16] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_130E_IPCC_classes_1km.gpkg\"\n",
+ " [17] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_140E_IPCC_classes_1km.gpkg\"\n",
+ " [18] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_150E_IPCC_classes_1km.gpkg\"\n",
+ " [19] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_160E_IPCC_classes_1km.gpkg\"\n",
+ " [20] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_000E_IPCC_classes_1km.gpkg\"\n",
+ " [21] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010E_IPCC_classes_1km.gpkg\"\n",
+ " [22] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010W_IPCC_classes_1km.gpkg\"\n",
+ " [23] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020E_IPCC_classes_1km.gpkg\"\n",
+ " [24] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020W_IPCC_classes_1km.gpkg\"\n",
+ " [25] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_030E_IPCC_classes_1km.gpkg\"\n",
+ " [26] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_040E_IPCC_classes_1km.gpkg\"\n",
+ " [27] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_050W_IPCC_classes_1km.gpkg\"\n",
+ " [28] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_060W_IPCC_classes_1km.gpkg\"\n",
+ " [29] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070E_IPCC_classes_1km.gpkg\"\n",
+ " [30] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070W_IPCC_classes_1km.gpkg\"\n",
+ " [31] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080E_IPCC_classes_1km.gpkg\"\n",
+ " [32] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [33] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [34] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [35] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [36] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [37] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [38] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_130E_IPCC_classes_1km.gpkg\"\n",
+ " [39] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_010E_IPCC_classes_1km.gpkg\"\n",
+ " [40] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_020E_IPCC_classes_1km.gpkg\"\n",
+ " [41] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_030E_IPCC_classes_1km.gpkg\"\n",
+ " [42] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040E_IPCC_classes_1km.gpkg\"\n",
+ " [43] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040W_IPCC_classes_1km.gpkg\"\n",
+ " [44] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050E_IPCC_classes_1km.gpkg\"\n",
+ " [45] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050W_IPCC_classes_1km.gpkg\"\n",
+ " [46] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_060W_IPCC_classes_1km.gpkg\"\n",
+ " [47] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_070W_IPCC_classes_1km.gpkg\"\n",
+ " [48] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_080W_IPCC_classes_1km.gpkg\"\n",
+ " [49] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_110E_IPCC_classes_1km.gpkg\"\n",
+ " [50] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_120E_IPCC_classes_1km.gpkg\"\n",
+ " [51] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_130E_IPCC_classes_1km.gpkg\"\n",
+ " [52] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_140E_IPCC_classes_1km.gpkg\"\n",
+ " [53] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_150E_IPCC_classes_1km.gpkg\"\n",
+ " [54] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_160E_IPCC_classes_1km.gpkg\"\n",
+ " [55] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_170E_IPCC_classes_1km.gpkg\"\n",
+ " [56] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_000E_IPCC_classes_1km.gpkg\"\n",
+ " [57] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010E_IPCC_classes_1km.gpkg\"\n",
+ " [58] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010W_IPCC_classes_1km.gpkg\"\n",
+ " [59] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020E_IPCC_classes_1km.gpkg\"\n",
+ " [60] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020W_IPCC_classes_1km.gpkg\"\n",
+ " [61] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_030E_IPCC_classes_1km.gpkg\"\n",
+ " [62] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_040E_IPCC_classes_1km.gpkg\"\n",
+ " [63] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_060W_IPCC_classes_1km.gpkg\"\n",
+ " [64] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070E_IPCC_classes_1km.gpkg\"\n",
+ " [65] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070W_IPCC_classes_1km.gpkg\"\n",
+ " [66] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080E_IPCC_classes_1km.gpkg\"\n",
+ " [67] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [68] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [69] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [70] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [71] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100W_IPCC_classes_1km.gpkg\"\n",
+ " [72] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [73] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110W_IPCC_classes_1km.gpkg\"\n",
+ " [74] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [75] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_160W_IPCC_classes_1km.gpkg\"\n",
+ " [76] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_020E_IPCC_classes_1km.gpkg\"\n",
+ " [77] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_030E_IPCC_classes_1km.gpkg\"\n",
+ " [78] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_040E_IPCC_classes_1km.gpkg\"\n",
+ " [79] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_050W_IPCC_classes_1km.gpkg\"\n",
+ " [80] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_060W_IPCC_classes_1km.gpkg\"\n",
+ " [81] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_070W_IPCC_classes_1km.gpkg\"\n",
+ " [82] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_140E_IPCC_classes_1km.gpkg\"\n",
+ " [83] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_150E_IPCC_classes_1km.gpkg\"\n",
+ " [84] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_160E_IPCC_classes_1km.gpkg\"\n",
+ " [85] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_020W_IPCC_classes_1km.gpkg\"\n",
+ " [86] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_070E_IPCC_classes_1km.gpkg\"\n",
+ " [87] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080E_IPCC_classes_1km.gpkg\"\n",
+ " [88] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080W_IPCC_classes_1km.gpkg\"\n",
+ " [89] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090E_IPCC_classes_1km.gpkg\"\n",
+ " [90] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090W_IPCC_classes_1km.gpkg\"\n",
+ " [91] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100E_IPCC_classes_1km.gpkg\"\n",
+ " [92] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100W_IPCC_classes_1km.gpkg\"\n",
+ " [93] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110E_IPCC_classes_1km.gpkg\"\n",
+ " [94] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110W_IPCC_classes_1km.gpkg\"\n",
+ " [95] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120E_IPCC_classes_1km.gpkg\"\n",
+ " [96] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120W_IPCC_classes_1km.gpkg\"\n",
+ " [97] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_160W_IPCC_classes_1km.gpkg\"\n",
+ " [98] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_010E_IPCC_classes_1km.gpkg\"\n",
+ " [99] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_020E_IPCC_classes_1km.gpkg\"\n",
+ "[100] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_030E_IPCC_classes_1km.gpkg\"\n",
+ "[101] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_060W_IPCC_classes_1km.gpkg\"\n",
+ "[102] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_070W_IPCC_classes_1km.gpkg\"\n",
+ "[103] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_080W_IPCC_classes_1km.gpkg\"\n",
+ "[104] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_110E_IPCC_classes_1km.gpkg\"\n",
+ "[105] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_120E_IPCC_classes_1km.gpkg\"\n",
+ "[106] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_130E_IPCC_classes_1km.gpkg\"\n",
+ "[107] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_140E_IPCC_classes_1km.gpkg\"\n",
+ "[108] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_150E_IPCC_classes_1km.gpkg\"\n",
+ "[109] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_170E_IPCC_classes_1km.gpkg\"\n",
+ "[110] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[111] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[112] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010W_IPCC_classes_1km.gpkg\"\n",
+ "[113] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[114] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[115] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[116] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_050E_IPCC_classes_1km.gpkg\"\n",
+ "[117] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[118] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[119] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[120] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080W_IPCC_classes_1km.gpkg\"\n",
+ "[121] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[122] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090W_IPCC_classes_1km.gpkg\"\n",
+ "[123] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[124] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100W_IPCC_classes_1km.gpkg\"\n",
+ "[125] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[126] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[127] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[128] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[129] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[130] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[131] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[132] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_080W_IPCC_classes_1km.gpkg\"\n",
+ "[133] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_140E_IPCC_classes_1km.gpkg\"\n",
+ "[134] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_160E_IPCC_classes_1km.gpkg\"\n",
+ "[135] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_170E_IPCC_classes_1km.gpkg\"\n",
+ "[136] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[137] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[138] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010W_IPCC_classes_1km.gpkg\"\n",
+ "[139] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[140] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[141] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[142] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[143] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060W_IPCC_classes_1km.gpkg\"\n",
+ "[144] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[145] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070W_IPCC_classes_1km.gpkg\"\n",
+ "[146] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[147] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080W_IPCC_classes_1km.gpkg\"\n",
+ "[148] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[149] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090W_IPCC_classes_1km.gpkg\"\n",
+ "[150] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[151] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100W_IPCC_classes_1km.gpkg\"\n",
+ "[152] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[153] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[154] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[155] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[156] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[157] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[158] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[159] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_150E_IPCC_classes_1km.gpkg\"\n",
+ "[160] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_070W_IPCC_classes_1km.gpkg\"\n",
+ "[161] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_080W_IPCC_classes_1km.gpkg\"\n",
+ "[162] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[163] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[164] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010W_IPCC_classes_1km.gpkg\"\n",
+ "[165] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[166] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[167] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[168] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_050E_IPCC_classes_1km.gpkg\"\n",
+ "[169] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[170] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060W_IPCC_classes_1km.gpkg\"\n",
+ "[171] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[172] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070W_IPCC_classes_1km.gpkg\"\n",
+ "[173] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[174] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080W_IPCC_classes_1km.gpkg\"\n",
+ "[175] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[176] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090W_IPCC_classes_1km.gpkg\"\n",
+ "[177] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[178] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100W_IPCC_classes_1km.gpkg\"\n",
+ "[179] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[180] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[181] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[182] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[183] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[184] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[185] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[186] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140W_IPCC_classes_1km.gpkg\"\n",
+ "[187] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150E_IPCC_classes_1km.gpkg\"\n",
+ "[188] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150W_IPCC_classes_1km.gpkg\"\n",
+ "[189] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160E_IPCC_classes_1km.gpkg\"\n",
+ "[190] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160W_IPCC_classes_1km.gpkg\"\n",
+ "[191] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_000E_IPCC_classes_1km.gpkg\"\n",
+ "[192] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[193] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[194] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_030E_IPCC_classes_1km.gpkg\"\n",
+ "[195] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_040E_IPCC_classes_1km.gpkg\"\n",
+ "[196] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_050E_IPCC_classes_1km.gpkg\"\n",
+ "[197] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_060E_IPCC_classes_1km.gpkg\"\n",
+ "[198] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_070E_IPCC_classes_1km.gpkg\"\n",
+ "[199] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_080E_IPCC_classes_1km.gpkg\"\n",
+ "[200] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[201] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[202] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[203] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110W_IPCC_classes_1km.gpkg\"\n",
+ "[204] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[205] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120W_IPCC_classes_1km.gpkg\"\n",
+ "[206] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[207] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130W_IPCC_classes_1km.gpkg\"\n",
+ "[208] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140E_IPCC_classes_1km.gpkg\"\n",
+ "[209] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140W_IPCC_classes_1km.gpkg\"\n",
+ "[210] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150E_IPCC_classes_1km.gpkg\"\n",
+ "[211] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150W_IPCC_classes_1km.gpkg\"\n",
+ "[212] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160E_IPCC_classes_1km.gpkg\"\n",
+ "[213] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160W_IPCC_classes_1km.gpkg\"\n",
+ "[214] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170E_IPCC_classes_1km.gpkg\"\n",
+ "[215] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170W_IPCC_classes_1km.gpkg\"\n",
+ "[216] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_010E_IPCC_classes_1km.gpkg\"\n",
+ "[217] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_020E_IPCC_classes_1km.gpkg\"\n",
+ "[218] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_090E_IPCC_classes_1km.gpkg\"\n",
+ "[219] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_100E_IPCC_classes_1km.gpkg\"\n",
+ "[220] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_110E_IPCC_classes_1km.gpkg\"\n",
+ "[221] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_120E_IPCC_classes_1km.gpkg\"\n",
+ "[222] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_130E_IPCC_classes_1km.gpkg\"\n",
+ "[223] \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_140E_IPCC_classes_1km.gpkg\"\n",
"[1] 1\n",
"Reading layer `00N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 193 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 8.798674 ymin: -2.734051 xmax: 10 ymax: 0\n",
+ "Bounding box: xmin: 8.864954 ymin: -2.725766 xmax: 10 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 2\n",
"Reading layer `00N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: -10 xmax: 20 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 3\n",
"Reading layer `00N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 277 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: -10 xmax: 30 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 4\n",
"Reading layer `00N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: -10 xmax: 40 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 5\n",
"Reading layer `00N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 203 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: -9.428335 xmax: 46.45402 ymax: 0\n",
+ "Bounding box: xmin: 40 ymin: -2.717481 xmax: 41.63215 ymax: -1.043911\n",
"Geodetic CRS: WGS 84\n",
"[1] 6\n",
"Reading layer `00N_040W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_040W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_040W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 228 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -40 ymin: -10 xmax: -34.79702 ymax: -3.082022\n",
+ "Bounding box: xmin: -40 ymin: -10 xmax: -34.84673 ymax: -3.521127\n",
"Geodetic CRS: WGS 84\n",
"[1] 7\n",
"Reading layer `00N_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_050W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 263 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -50 ymin: -10 xmax: -40 ymax: 0\n",
+ "Bounding box: xmin: -50 ymin: -10 xmax: -40.24027 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 8\n",
"Reading layer `00N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 251 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -60 ymin: -10 xmax: -50 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 9\n",
"Reading layer `00N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -70 ymin: -10 xmax: -60 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 10\n",
"Reading layer `00N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -80 ymin: -10 xmax: -70 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 11\n",
"Reading layer `00N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 213 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 98.30157 ymin: -2.642916 xmax: 100 ymax: 0\n",
+ "Bounding box: xmin: 98.30157 ymin: -2.651201 xmax: 100 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 12\n",
"Reading layer `00N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 238 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80.95278 ymin: -5.517813 xmax: -80 ymax: 0\n",
+ "Bounding box: xmin: -80.89478 ymin: -5.294118 xmax: -80 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 13\n",
"Reading layer `00N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: -7.870754 xmax: 110 ymax: 0\n",
+ "Bounding box: xmin: 100 ymin: -7.845899 xmax: 110 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 14\n",
"Reading layer `00N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: -10 xmax: 120 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 15\n",
"Reading layer `00N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 242 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: -10 xmax: 130 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 16\n",
"Reading layer `00N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 256 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: -8.425849 xmax: 140 ymax: -0.008285004\n",
+ "Bounding box: xmin: 130 ymin: -8.334714 xmax: 140 ymax: 0\n",
"Geodetic CRS: WGS 84\n",
"[1] 17\n",
"Reading layer `00N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 485 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140 ymin: -10 xmax: 150 ymax: -1.358741\n",
+ "Bounding box: xmin: 140 ymin: -10 xmax: 150 ymax: -1.350456\n",
"Geodetic CRS: WGS 84\n",
"[1] 18\n",
"Reading layer `00N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 461 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 150 ymin: -10 xmax: 160 ymax: -2.377796\n",
"Geodetic CRS: WGS 84\n",
"[1] 19\n",
"Reading layer `00N_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/00N_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/00N_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 225 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: -9.925435 xmax: 161.5659 ymax: -8.309859\n",
+ "Bounding box: xmin: 160 ymin: -9.925435 xmax: 161.5659 ymax: -8.318144\n",
"Geodetic CRS: WGS 84\n",
"[1] 20\n",
"Reading layer `10N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 253 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 0 ymin: 0 xmax: 10 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 21\n",
"Reading layer `10N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 273 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 0 xmax: 20 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 22\n",
"Reading layer `10N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -10 ymin: 4.357912 xmax: 0 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 23\n",
"Reading layer `10N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: 0 xmax: 30 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 24\n",
"Reading layer `10N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_020W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_020W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 239 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -13.9768 ymin: 5.832643 xmax: -10 ymax: 10\n",
+ "Bounding box: xmin: -13.98509 ymin: 5.824358 xmax: -10 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 25\n",
"Reading layer `10N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 270 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: 0 xmax: 40 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 26\n",
"Reading layer `10N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 203 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 0.02485501 xmax: 45.18641 ymax: 10\n",
+ "Bounding box: xmin: 40 ymin: 5.865783 xmax: 42.50207 ymax: 9.080365\n",
"Geodetic CRS: WGS 84\n",
"[1] 27\n",
"Reading layer `10N_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_050W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 139 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -50 ymin: 0 xmax: -49.39519 ymax: 1.690141\n",
+ "Bounding box: xmin: -50 ymin: 0 xmax: -49.39519 ymax: 1.557581\n",
"Geodetic CRS: WGS 84\n",
"[1] 28\n",
"Reading layer `10N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 256 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: 0 xmax: -50 ymax: 8.525269\n",
+ "Bounding box: xmin: -60 ymin: 0 xmax: -50 ymax: 8.516984\n",
"Geodetic CRS: WGS 84\n",
"[1] 29\n",
"Reading layer `10N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 234 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 76.24689 ymin: 6.437448 xmax: 80 ymax: 10\n",
+ "Bounding box: xmin: 76.28832 ymin: 6.429163 xmax: 80 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 30\n",
"Reading layer `10N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 268 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -70 ymin: 0 xmax: -60 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 31\n",
"Reading layer `10N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 5.923778 xmax: 81.86413 ymax: 9.826015\n",
+ "Bounding box: xmin: 80 ymin: 5.923778 xmax: 81.85584 ymax: 9.826015\n",
"Geodetic CRS: WGS 84\n",
"[1] 32\n",
"Reading layer `10N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 21 features and 1 field\n",
+ "Simple feature collection with 721 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -80 ymin: 0 xmax: -70 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 33\n",
"Reading layer `10N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 92.71748 ymin: 0 xmax: 100 ymax: 10\n",
+ "Bounding box: xmin: 92.7092 ymin: 0 xmax: 100 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 34\n",
"Reading layer `10N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 342 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -85.6918 ymin: 0 xmax: -80 ymax: 10\n",
+ "Bounding box: xmin: -85.70008 ymin: 0 xmax: -80 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 35\n",
"Reading layer `10N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 100 ymin: 0 xmax: 110 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 36\n",
"Reading layer `10N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 0 xmax: 120 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 37\n",
"Reading layer `10N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 238 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 0 xmax: 129.3621 ymax: 10\n",
+ "Bounding box: xmin: 120 ymin: 0 xmax: 129.3703 ymax: 10\n",
"Geodetic CRS: WGS 84\n",
"[1] 38\n",
"Reading layer `10N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 156 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 134.4822 ymin: 7.315659 xmax: 134.6479 ymax: 7.721624\n",
+ "Bounding box: xmin: 134.4905 ymin: 7.357084 xmax: 134.6396 ymax: 7.630489\n",
"Geodetic CRS: WGS 84\n",
"[1] 39\n",
"Reading layer `10S_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 273 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 12.97432 ymin: -19.46976 xmax: 20 ymax: -10\n",
+ "Bounding box: xmin: 13.01574 ymin: -17.24109 xmax: 20 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 40\n",
"Reading layer `10S_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: -20 xmax: 30 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 41\n",
"Reading layer `10S_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: -20 xmax: 40 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 42\n",
"Reading layer `10S_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: -20 xmax: 50 ymax: -10.14085\n",
+ "Bounding box: xmin: 40 ymin: -20 xmax: 50 ymax: -10.13256\n",
"Geodetic CRS: WGS 84\n",
"[1] 43\n",
"Reading layer `10S_040W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_040W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_040W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 233 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -40 ymin: -19.72659 xmax: -36.01491 ymax: -10\n",
+ "Bounding box: xmin: -40 ymin: -19.71831 xmax: -36.09776 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 44\n",
"Reading layer `10S_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 210 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 50 ymin: -16.74399 xmax: 50.48053 ymax: -13.46313\n",
+ "Bounding box: xmin: 50 ymin: -15.97349 xmax: 50.48053 ymax: -13.62055\n",
"Geodetic CRS: WGS 84\n",
"[1] 45\n",
"Reading layer `10S_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_050W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 260 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -50 ymin: -20 xmax: -40 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 46\n",
"Reading layer `10S_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -60 ymin: -20 xmax: -50 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 47\n",
"Reading layer `10S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -70 ymin: -20 xmax: -60 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 48\n",
"Reading layer `10S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 247 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -77.66363 ymin: -17.55592 xmax: -70 ymax: -10\n",
+ "Bounding box: xmin: -76.1889 ymin: -13.82767 xmax: -70 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 49\n",
"Reading layer `10S_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 3 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 119.9834 ymin: -10.02486 xmax: 120 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 50\n",
"Reading layer `10S_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 401 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: -19.81773 xmax: 130 ymax: -10\n",
+ "Bounding box: xmin: 120 ymin: -18.40928 xmax: 130 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 51\n",
"Reading layer `10S_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 261 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: -19.4449 xmax: 140 ymax: -11.02734\n",
+ "Bounding box: xmin: 130 ymin: -19.03065 xmax: 140 ymax: -11.02734\n",
"Geodetic CRS: WGS 84\n",
"[1] 52\n",
"Reading layer `10S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 477 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: -20 xmax: 150 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 53\n",
"Reading layer `10S_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 419 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: -11.64043 xmax: 160 ymax: -10\n",
+ "Bounding box: xmin: 150 ymin: -11.62386 xmax: 160 ymax: -10\n",
"Geodetic CRS: WGS 84\n",
"[1] 54\n",
"Reading layer `10S_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 236 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: -19.65203 xmax: 169.4946 ymax: -10.20713\n",
+ "Bounding box: xmin: 160 ymin: -19.65203 xmax: 169.4946 ymax: -10.19884\n",
"Geodetic CRS: WGS 84\n",
"[1] 55\n",
"Reading layer `10S_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/10S_170E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/10S_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 238 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 177.2577 ymin: -19.16321 xmax: 179.9337 ymax: -16.52858\n",
+ "Bounding box: xmin: 177.3322 ymin: -19.16321 xmax: 179.884 ymax: -16.52858\n",
"Geodetic CRS: WGS 84\n",
"[1] 56\n",
"Reading layer `20N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 38 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 0 ymin: 10 xmax: 9.98343 ymax: 18.93123\n",
+ "Bounding box: xmin: 0.5219553 ymin: 10 xmax: 9.12179 ymax: 11.91384\n",
"Geodetic CRS: WGS 84\n",
"[1] 57\n",
"Reading layer `20N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 30 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 10.00829 ymin: 10 xmax: 20 ymax: 13.38857\n",
+ "Bounding box: xmin: 10.42254 ymin: 10 xmax: 19.99171 ymax: 12.12096\n",
"Geodetic CRS: WGS 84\n",
"[1] 58\n",
"Reading layer `20N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 216 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -10 ymin: 10 xmax: 0 ymax: 16.69428\n",
+ "Bounding box: xmin: -10 ymin: 10 xmax: -3.454847 ymax: 14.58989\n",
"Geodetic CRS: WGS 84\n",
"[1] 59\n",
"Reading layer `20N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 54 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 10 xmax: 30 ymax: 14.18393\n",
+ "Bounding box: xmin: 20.09942 ymin: 10 xmax: 30 ymax: 11.95526\n",
"Geodetic CRS: WGS 84\n",
"[1] 60\n",
"Reading layer `20N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_020W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_020W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 247 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -17.06711 ymin: 10 xmax: -10 ymax: 16.65286\n",
+ "Bounding box: xmin: -16.7937 ymin: 10 xmax: -10 ymax: 13.80282\n",
"Geodetic CRS: WGS 84\n",
"[1] 61\n",
"Reading layer `20N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: 10 xmax: 40 ymax: 17.1831\n",
+ "Bounding box: xmin: 30 ymin: 10 xmax: 39.942 ymax: 13.76968\n",
"Geodetic CRS: WGS 84\n",
"[1] 62\n",
"Reading layer `20N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 107 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 10 xmax: 48.93952 ymax: 19.3372\n",
+ "Bounding box: xmin: 45.42668 ymin: 10.03314 xmax: 48.87324 ymax: 11.04391\n",
"Geodetic CRS: WGS 84\n",
"[1] 63\n",
- "Reading layer `20N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_050E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_060W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 13 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 54.22535 ymin: 17.13339 xmax: 54.26678 ymax: 17.14996\n",
+ "Bounding box: xmin: -59.60232 ymin: 13.18973 xmax: -59.53604 ymax: 13.27258\n",
"Geodetic CRS: WGS 84\n",
"[1] 64\n",
- "Reading layer `20N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_060W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_070E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -59.65203 ymin: 13.08202 xmax: -59.46976 ymax: 13.32229\n",
+ "Bounding box: xmin: 72.7092 ymin: 10 xmax: 80 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 65\n",
- "Reading layer `20N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_070W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 467 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 72.66777 ymin: 10 xmax: 80 ymax: 20\n",
+ "Bounding box: xmin: -70 ymin: 10 xmax: -60.52196 ymax: 19.42005\n",
"Geodetic CRS: WGS 84\n",
"[1] 66\n",
- "Reading layer `20N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_070W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_080E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 26 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: 10 xmax: -60.52196 ymax: 19.67688\n",
+ "Bounding box: xmin: 80 ymin: 12.60978 xmax: 85.5261 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 67\n",
- "Reading layer `20N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 481 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 12.28666 xmax: 86.37945 ymax: 20\n",
+ "Bounding box: xmin: -78.36785 ymin: 10 xmax: -70 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 68\n",
- "Reading layer `20N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_090E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 27 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -78.36785 ymin: 10 xmax: -70 ymax: 20\n",
+ "Bounding box: xmin: 92.3778 ymin: 10 xmax: 100 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 69\n",
- "Reading layer `20N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_090W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 92.3778 ymin: 10 xmax: 100 ymax: 20\n",
+ "Bounding box: xmin: -90 ymin: 10 xmax: -81.18476 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 70\n",
- "Reading layer `20N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_090W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_100E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 261 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 10 xmax: -81.10191 ymax: 20\n",
+ "Bounding box: xmin: 100 ymin: 10 xmax: 110 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 71\n",
- "Reading layer `20N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_100W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 257 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 10 xmax: 110 ymax: 20\n",
+ "Bounding box: xmin: -100 ymin: 13.78625 xmax: -90 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 72\n",
- "Reading layer `20N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_100W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 17 features and 1 field\n",
+ "Simple feature collection with 220 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 13.73654 xmax: -90 ymax: 20\n",
+ "Bounding box: xmin: 110 ymin: 10 xmax: 120 ymax: 19.59403\n",
"Geodetic CRS: WGS 84\n",
"[1] 73\n",
- "Reading layer `20N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_110W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 253 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 110 ymin: 10 xmax: 120 ymax: 20\n",
+ "Bounding box: xmin: -105.4432 ymin: 16.97597 xmax: -100 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 74\n",
- "Reading layer `20N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_110W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -105.4847 ymin: 16.9594 xmax: -100 ymax: 20\n",
+ "Bounding box: xmin: 120 ymin: 10 xmax: 125.8161 ymax: 19.38691\n",
"Geodetic CRS: WGS 84\n",
"[1] 75\n",
- "Reading layer `20N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_120E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20N_160W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 229 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 10 xmax: 126.0812 ymax: 19.38691\n",
+ "Bounding box: xmin: -155.9983 ymin: 18.99751 xmax: -154.8302 ymax: 20\n",
"Geodetic CRS: WGS 84\n",
"[1] 76\n",
- "Reading layer `20N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20N_160W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_020E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 163 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -156.0315 ymin: 18.98923 xmax: -154.8302 ymax: 20\n",
+ "Bounding box: xmin: 27.19138 ymin: -30 xmax: 30 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 77\n",
- "Reading layer `20S_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_030E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 266 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 16.01491 ymin: -22.58492 xmax: 17.63877 ymax: -20.50539\n",
+ "Bounding box: xmin: 30 ymin: -30 xmax: 35.31069 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 78\n",
- "Reading layer `20S_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_020E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_040E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 241 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 21.12676 ymin: -30 xmax: 30 ymax: -20\n",
+ "Bounding box: xmin: 43.32229 ymin: -25.10356 xmax: 48.6744 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 79\n",
- "Reading layer `20S_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_030E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_050W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_050W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: -30 xmax: 35.57581 ymax: -20\n",
+ "Bounding box: xmin: -50 ymin: -29.51947 xmax: -40.21541 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 80\n",
- "Reading layer `20S_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_040E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_060W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 43.30572 ymin: -25.50953 xmax: 48.75725 ymax: -20\n",
+ "Bounding box: xmin: -60 ymin: -30 xmax: -50 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 81\n",
- "Reading layer `20S_050W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_050W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_070W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -50 ymin: -29.69345 xmax: -40.1657 ymax: -20\n",
+ "Bounding box: xmin: -67.04225 ymin: -30 xmax: -60 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 82\n",
- "Reading layer `20S_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_060W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_140E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: -30 xmax: -50 ymax: -20\n",
+ "Bounding box: xmin: 143.7862 ymin: -29.47804 xmax: 150 ymax: -20\n",
"Geodetic CRS: WGS 84\n",
"[1] 83\n",
- "Reading layer `20S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_070W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_150E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 17 features and 1 field\n",
+ "Simple feature collection with 264 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -67.90389 ymin: -30 xmax: -60 ymax: -20\n",
+ "Bounding box: xmin: 150 ymin: -30 xmax: 153.6123 ymax: -22.1541\n",
"Geodetic CRS: WGS 84\n",
"[1] 84\n",
- "Reading layer `20S_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `20S_160E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/20S_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 114.1922 ymin: -29.98343 xmax: 117.5725 ymax: -27.27423\n",
+ "Bounding box: xmin: 164.1176 ymin: -22.67606 xmax: 169.8923 ymax: -20.13256\n",
"Geodetic CRS: WGS 84\n",
"[1] 85\n",
- "Reading layer `20S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_140E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_020W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_020W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 32 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140.3314 ymin: -30 xmax: 150 ymax: -20\n",
+ "Bounding box: xmin: -18.10273 ymin: 27.70505 xmax: -15.51781 ymax: 28.8401\n",
"Geodetic CRS: WGS 84\n",
"[1] 86\n",
- "Reading layer `20S_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_150E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_070E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 241 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: -30 xmax: 153.6205 ymax: -22.14582\n",
+ "Bounding box: xmin: 70.31483 ymin: 20 xmax: 80 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 87\n",
- "Reading layer `20S_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/20S_160E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_080E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 163.9851 ymin: -22.67606 xmax: 169.8923 ymax: -20.10771\n",
+ "Bounding box: xmin: 80 ymin: 20 xmax: 90 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 88\n",
- "Reading layer `30N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 228 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 18.09445 ymin: 20.90307 xmax: 18.10273 ymax: 20.91135\n",
+ "Bounding box: xmin: -80 ymin: 20 xmax: -72.63463 ymax: 26.28003\n",
"Geodetic CRS: WGS 84\n",
"[1] 89\n",
- "Reading layer `30N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_010W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_090E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 4 features and 1 field\n",
+ "Simple feature collection with 279 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -9.71831 ymin: 29.59403 xmax: -8.889809 ymax: 29.82601\n",
+ "Bounding box: xmin: 90 ymin: 20 xmax: 100 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 90\n",
- "Reading layer `30N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_020W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_090W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 244 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -18.11102 ymin: 27.70505 xmax: -15.44325 ymax: 28.8401\n",
+ "Bounding box: xmin: -90 ymin: 20 xmax: -80 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 91\n",
- "Reading layer `30N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_040E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_100E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40.058 ymin: 20.10771 xmax: 41.31732 ymax: 22.10439\n",
+ "Bounding box: xmin: 100 ymin: 20 xmax: 110 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 92\n",
- "Reading layer `30N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_050E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_100W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 260 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 51.01906 ymin: 22.76719 xmax: 59.46147 ymax: 29.87572\n",
+ "Bounding box: xmin: -100 ymin: 20 xmax: -90 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 93\n",
- "Reading layer `30N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_060E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 60.74565 ymin: 21.2179 xmax: 70 ymax: 28.16073\n",
+ "Bounding box: xmin: 110 ymin: 21.57415 xmax: 120 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 94\n",
- "Reading layer `30N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_070E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_110W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70.01657 ymin: 20 xmax: 80 ymax: 30\n",
+ "Bounding box: xmin: -110 ymin: 20 xmax: -100 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 95\n",
- "Reading layer `30N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 17 features and 1 field\n",
+ "Simple feature collection with 235 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 20 xmax: 90 ymax: 30\n",
+ "Bounding box: xmin: 120 ymin: 21.97183 xmax: 129.7017 ymax: 30\n",
"Geodetic CRS: WGS 84\n",
"[1] 96\n",
- "Reading layer `30N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_120W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 16 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80 ymin: 20 xmax: -71.76471 ymax: 26.91798\n",
+ "Bounding box: xmin: -110.0414 ymin: 23.44656 xmax: -110 ymax: 29.80116\n",
"Geodetic CRS: WGS 84\n",
"[1] 97\n",
- "Reading layer `30N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30N_160W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 227 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 90 ymin: 20 xmax: 100 ymax: 30\n",
+ "Bounding box: xmin: -159.7266 ymin: 20 xmax: -155.2775 ymax: 22.22038\n",
"Geodetic CRS: WGS 84\n",
"[1] 98\n",
- "Reading layer `30N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_090W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_010E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 16 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 20 xmax: -80 ymax: 30\n",
+ "Bounding box: xmin: 18.38442 ymin: -34.00994 xmax: 19.49461 ymax: -33.60398\n",
"Geodetic CRS: WGS 84\n",
"[1] 99\n",
- "Reading layer `30N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_020E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 235 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 20 xmax: 110 ymax: 30\n",
+ "Bounding box: xmin: 20.41425 ymin: -34.17564 xmax: 30 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 100\n",
- "Reading layer `30N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_100W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_030E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 91 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 20 xmax: -90 ymax: 30\n",
+ "Bounding box: xmin: 30 ymin: -31.03563 xmax: 30.81193 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 101\n",
- "Reading layer `30N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_060W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 117 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 110 ymin: 20 xmax: 120 ymax: 30\n",
+ "Bounding box: xmin: -60 ymin: -38.50041 xmax: -50.35626 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 102\n",
- "Reading layer `30N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_110W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_070W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 72 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -110 ymin: 20 xmax: -100 ymax: 30\n",
+ "Bounding box: xmin: -65.35211 ymin: -35.75808 xmax: -60 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 103\n",
- "Reading layer `30N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 257 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 21.93041 xmax: 129.7017 ymax: 30\n",
+ "Bounding box: xmin: -73.68683 ymin: -40 xmax: -70.43911 ymax: -32.19553\n",
"Geodetic CRS: WGS 84\n",
"[1] 104\n",
- "Reading layer `30N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_120W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 231 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -110.3231 ymin: 23.19801 xmax: -110 ymax: 29.98343\n",
+ "Bounding box: xmin: 114.9876 ymin: -35.12013 xmax: 120 ymax: -30.65452\n",
"Geodetic CRS: WGS 84\n",
"[1] 105\n",
- "Reading layer `30N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_160W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 22 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -159.7763 ymin: 20 xmax: -155.261 ymax: 22.22867\n",
+ "Bounding box: xmin: 121.5493 ymin: -33.83596 xmax: 122.8915 ymax: -32.22038\n",
"Geodetic CRS: WGS 84\n",
"[1] 106\n",
- "Reading layer `30N_170W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30N_170W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_130E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 104 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -160.232 ymin: 21.79785 xmax: -160.0829 ymax: 21.95526\n",
+ "Bounding box: xmin: 135.4764 ymin: -36.04805 xmax: 140 ymax: -32.44408\n",
"Geodetic CRS: WGS 84\n",
"[1] 107\n",
- "Reading layer `30S_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_140E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 254 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 18.31814 ymin: -34.73074 xmax: 20 ymax: -31.97183\n",
+ "Bounding box: xmin: 140 ymin: -40 xmax: 150 ymax: -30.01657\n",
"Geodetic CRS: WGS 84\n",
"[1] 108\n",
- "Reading layer `30S_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_020E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_150E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 254 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: -34.55675 xmax: 30 ymax: -30\n",
+ "Bounding box: xmin: 150 ymin: -37.25766 xmax: 153.2146 ymax: -30\n",
"Geodetic CRS: WGS 84\n",
"[1] 109\n",
- "Reading layer `30S_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_030E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `30S_170E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/30S_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: -31.26761 xmax: 30.90307 ymax: -30\n",
+ "Bounding box: xmin: 172.7506 ymin: -40 xmax: 178.5253 ymax: -34.41591\n",
"Geodetic CRS: WGS 84\n",
"[1] 110\n",
- "Reading layer `30S_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_060W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_000E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 217 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: -38.84838 xmax: -50.14913 ymax: -30\n",
+ "Bounding box: xmin: 0 ymin: 34.98757 xmax: 9.6686 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 111\n",
- "Reading layer `30S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_070W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_010E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 98 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -69.51947 ymin: -39.10522 xmax: -60 ymax: -30\n",
+ "Bounding box: xmin: 10.09114 ymin: 36.36288 xmax: 20 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 112\n",
- "Reading layer `30S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_010W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 312 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -73.67854 ymin: -40 xmax: -70.15742 ymax: -30\n",
+ "Bounding box: xmin: -9.461475 ymin: 30.71251 xmax: 0 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 113\n",
- "Reading layer `30S_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_110E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_020E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 437 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 114.9876 ymin: -35.12013 xmax: 120 ymax: -30\n",
+ "Bounding box: xmin: 20.1657 ymin: 35.04557 xmax: 30 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 114\n",
- "Reading layer `30S_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_120E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_030E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 219 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: -34.00994 xmax: 126.454 ymax: -31.92212\n",
+ "Bounding box: xmin: 30 ymin: 31.73157 xmax: 39.85915 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 115\n",
- "Reading layer `30S_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_130E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_040E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 243 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 132.1292 ymin: -37.41508 xmax: 140 ymax: -31.8807\n",
+ "Bounding box: xmin: 40.08285 ymin: 36.71914 xmax: 50 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 116\n",
- "Reading layer `30S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_140E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_050E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
+ "Simple feature collection with 234 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140 ymin: -40 xmax: 150 ymax: -30\n",
+ "Bounding box: xmin: 50 ymin: 35.88235 xmax: 56.7937 ymax: 37.80447\n",
"Geodetic CRS: WGS 84\n",
"[1] 117\n",
- "Reading layer `30S_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_150E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_060E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 130 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: -37.25766 xmax: 153.2146 ymax: -30\n",
+ "Bounding box: xmin: 68.01988 ymin: 32.45236 xmax: 70 ymax: 39.8343\n",
"Geodetic CRS: WGS 84\n",
"[1] 118\n",
- "Reading layer `30S_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/30S_170E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_070E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 172.7341 ymin: -40 xmax: 178.5253 ymax: -34.41591\n",
+ "Bounding box: xmin: 70 ymin: 30 xmax: 80 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 119\n",
- "Reading layer `40N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_000E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_080E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 42 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 0 ymin: 34.43248 xmax: 10 ymax: 40\n",
+ "Bounding box: xmin: 80 ymin: 30 xmax: 81.80613 ymax: 30.20713\n",
"Geodetic CRS: WGS 84\n",
"[1] 120\n",
- "Reading layer `40N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 235 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 10.01657 ymin: 32.74234 xmax: 20 ymax: 40\n",
+ "Bounding box: xmin: -80 ymin: 32.70091 xmax: -74.13422 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 121\n",
- "Reading layer `40N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_010W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_090E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 244 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -9.78459 ymin: 30.10771 xmax: 0 ymax: 40\n",
+ "Bounding box: xmin: 92.95775 ymin: 30 xmax: 100 ymax: 38.79039\n",
"Geodetic CRS: WGS 84\n",
"[1] 122\n",
- "Reading layer `40N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_020E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_090W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 30.7208 xmax: 30 ymax: 40\n",
+ "Bounding box: xmin: -90 ymin: 30 xmax: -80 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 123\n",
- "Reading layer `40N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_030E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_100E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: 30.78708 xmax: 40 ymax: 40\n",
+ "Bounding box: xmin: 100 ymin: 30 xmax: 110 ymax: 38.55012\n",
"Geodetic CRS: WGS 84\n",
"[1] 124\n",
- "Reading layer `40N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_040E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_100W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 252 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 31.95526 xmax: 50 ymax: 40\n",
+ "Bounding box: xmin: -100 ymin: 30 xmax: -90 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 125\n",
- "Reading layer `40N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_050E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_110E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 50 ymin: 30.2237 xmax: 59.70174 ymax: 38.74068\n",
+ "Bounding box: xmin: 110 ymin: 30 xmax: 120 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 126\n",
- "Reading layer `40N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_060E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_110W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 272 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 62.17067 ymin: 31.02734 xmax: 70 ymax: 39.98343\n",
+ "Bounding box: xmin: -110 ymin: 30 xmax: -100.0911 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 127\n",
- "Reading layer `40N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_070E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_120E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 30 xmax: 80 ymax: 40\n",
+ "Bounding box: xmin: 120 ymin: 30 xmax: 130 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 128\n",
- "Reading layer `40N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_120W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 274 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 30 xmax: 81.86413 ymax: 30.39768\n",
+ "Bounding box: xmin: -120 ymin: 30.75394 xmax: -110 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 129\n",
- "Reading layer `40N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_080W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_130E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 258 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80 ymin: 32.61806 xmax: -74.11765 ymax: 40\n",
+ "Bounding box: xmin: 130 ymin: 30.23198 xmax: 140 ymax: 39.99171\n",
"Geodetic CRS: WGS 84\n",
"[1] 130\n",
- "Reading layer `40N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_130W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 248 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 92.75062 ymin: 30 xmax: 100 ymax: 39.38691\n",
+ "Bounding box: xmin: -123.9768 ymin: 34.4739 xmax: -120 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 131\n",
- "Reading layer `40N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_090W_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40N_140E_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 236 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 30 xmax: -80 ymax: 40\n",
+ "Bounding box: xmin: 140 ymin: 35.029 xmax: 142.0713 ymax: 40\n",
"Geodetic CRS: WGS 84\n",
"[1] 132\n",
- "Reading layer `40N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100E_IPCC_classes_1km.gpkg' \n",
+ "Reading layer `40S_080W_IPCC_classes_1km' from data source \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 30 xmax: 110 ymax: 39.53604\n",
+ "Bounding box: xmin: -75.65037 ymin: -50 xmax: -71.09362 ymax: -40\n",
"Geodetic CRS: WGS 84\n",
"[1] 133\n",
- "Reading layer `40N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_100W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 30 xmax: -90 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 134\n",
- "Reading layer `40N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 110 ymin: 30 xmax: 120 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 135\n",
- "Reading layer `40N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_110W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -110 ymin: 30 xmax: -100 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 136\n",
- "Reading layer `40N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 30 xmax: 130 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 137\n",
- "Reading layer `40N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_120W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 13 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -120 ymin: 30 xmax: -110 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 138\n",
- "Reading layer `40N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: 30.24027 xmax: 140 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 139\n",
- "Reading layer `40N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_130W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -123.9768 ymin: 33.9768 xmax: -120 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 140\n",
- "Reading layer `40N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40N_140E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 140 ymin: 35.03728 xmax: 142.0713 ymax: 40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 141\n",
- "Reading layer `40S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_070W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -69.10522 ymin: -46.19718 xmax: -67.24109 ymax: -45.26926\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 142\n",
- "Reading layer `40S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_080W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -75.65037 ymin: -50 xmax: -70.12428 ymax: -40\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 143\n",
"Reading layer `40S_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 252 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 143.8774 ymin: -43.63712 xmax: 148.4341 ymax: -40\n",
+ "Bounding box: xmin: 143.8774 ymin: -43.63712 xmax: 148.3761 ymax: -40\n",
"Geodetic CRS: WGS 84\n",
- "[1] 144\n",
+ "[1] 134\n",
"Reading layer `40S_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 166.4623 ymin: -47.28252 xmax: 170 ymax: -43.36371\n",
+ "Bounding box: xmin: 166.4623 ymin: -47.27423 xmax: 170 ymax: -43.36371\n",
"Geodetic CRS: WGS 84\n",
- "[1] 145\n",
+ "[1] 135\n",
"Reading layer `40S_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/40S_170E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/40S_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 170 ymin: -46.16404 xmax: 176.8848 ymax: -40\n",
+ "Bounding box: xmin: 170 ymin: -46.15576 xmax: 176.5617 ymax: -40\n",
"Geodetic CRS: WGS 84\n",
- "[1] 146\n",
+ "[1] 136\n",
"Reading layer `50N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 188 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 0 ymin: 40 xmax: 10 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 147\n",
+ "[1] 137\n",
"Reading layer `50N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 245 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 40 xmax: 20 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 148\n",
+ "[1] 138\n",
"Reading layer `50N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 157 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -9.279205 ymin: 40 xmax: 0 ymax: 50\n",
+ "Bounding box: xmin: -9.229495 ymin: 40 xmax: 0 ymax: 49.20464\n",
"Geodetic CRS: WGS 84\n",
- "[1] 149\n",
+ "[1] 139\n",
"Reading layer `50N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 26 features and 1 field\n",
+ "Simple feature collection with 702 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: 40 xmax: 30 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 150\n",
+ "[1] 140\n",
"Reading layer `50N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 18 features and 1 field\n",
+ "Simple feature collection with 482 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: 40 xmax: 40 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 151\n",
+ "[1] 141\n",
"Reading layer `50N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 21 features and 1 field\n",
+ "Simple feature collection with 694 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 40 xmax: 49.22949 ymax: 50\n",
+ "Bounding box: xmin: 40 ymin: 40 xmax: 49.18807 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 152\n",
- "Reading layer `50N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_050E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 51.07705 ymin: 48.92295 xmax: 58.65783 ymax: 50\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 153\n",
+ "[1] 142\n",
"Reading layer `50N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 2 features and 1 field\n",
+ "Simple feature collection with 12 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 65.90721 ymin: 40.09942 xmax: 70 ymax: 43.91052\n",
+ "Bounding box: xmin: 69.85087 ymin: 41.0522 xmax: 70 ymax: 41.60729\n",
"Geodetic CRS: WGS 84\n",
- "[1] 154\n",
+ "[1] 143\n",
"Reading layer `50N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 259 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: 45.89892 xmax: -52.64292 ymax: 50\n",
+ "Bounding box: xmin: -60 ymin: 45.90721 xmax: -52.64292 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 155\n",
+ "[1] 144\n",
"Reading layer `50N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 244 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 40 xmax: 80 ymax: 49.91715\n",
+ "Bounding box: xmin: 70.00829 ymin: 40 xmax: 80 ymax: 49.8343\n",
"Geodetic CRS: WGS 84\n",
- "[1] 156\n",
+ "[1] 145\n",
"Reading layer `50N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 266 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: 41.25104 xmax: -60 ymax: 50\n",
+ "Bounding box: xmin: -70 ymin: 41.72328 xmax: -60 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 157\n",
+ "[1] 146\n",
"Reading layer `50N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 41.37531 xmax: 90 ymax: 50\n",
+ "Bounding box: xmin: 80 ymin: 42.49379 xmax: 90 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 158\n",
+ "[1] 147\n",
"Reading layer `50N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 286 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -80 ymin: 40 xmax: -70 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 159\n",
+ "[1] 148\n",
"Reading layer `50N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 90 ymin: 42.89975 xmax: 100 ymax: 50\n",
+ "Bounding box: xmin: 90 ymin: 43.27258 xmax: 100 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 160\n",
+ "[1] 149\n",
"Reading layer `50N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 277 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -90 ymin: 40 xmax: -80 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 161\n",
+ "[1] 150\n",
"Reading layer `50N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 277 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 40.62138 xmax: 110 ymax: 50\n",
+ "Bounding box: xmin: 100 ymin: 46.52858 xmax: 110 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 162\n",
+ "[1] 151\n",
"Reading layer `50N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_100W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -100 ymin: 40 xmax: -90 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 163\n",
+ "[1] 152\n",
"Reading layer `50N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 240 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 40 xmax: 120 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 164\n",
+ "[1] 153\n",
"Reading layer `50N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_110W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -110 ymin: 40 xmax: -100 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 165\n",
+ "[1] 154\n",
"Reading layer `50N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: 40 xmax: 130 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 166\n",
+ "[1] 155\n",
"Reading layer `50N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_120W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -120 ymin: 40 xmax: -110 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 167\n",
+ "[1] 156\n",
"Reading layer `50N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: 40 xmax: 140 ymax: 50\n",
+ "Bounding box: xmin: 130 ymin: 40.38111 xmax: 140 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 168\n",
+ "[1] 157\n",
"Reading layer `50N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_130W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 270 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -127.2411 ymin: 40 xmax: -120 ymax: 50\n",
+ "Bounding box: xmin: -127.2245 ymin: 40 xmax: -120 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 169\n",
+ "[1] 158\n",
"Reading layer `50N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: 40 xmax: 150 ymax: 50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 170\n",
+ "[1] 159\n",
"Reading layer `50N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
+ "Simple feature collection with 130 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: 45.83264 xmax: 154.8964 ymax: 49.6106\n",
+ "Bounding box: xmin: 150 ymin: 45.93206 xmax: 154.8302 ymax: 49.59403\n",
"Geodetic CRS: WGS 84\n",
- "[1] 171\n",
+ "[1] 160\n",
"Reading layer `50S_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 247 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: -55.87407 xmax: -63.81939 ymax: -53.34714\n",
+ "Bounding box: xmin: -70 ymin: -55.87407 xmax: -63.85253 ymax: -53.58741\n",
"Geodetic CRS: WGS 84\n",
- "[1] 172\n",
+ "[1] 161\n",
"Reading layer `50S_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/50S_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/50S_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 253 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -75.50953 ymin: -55.17813 xmax: -70 ymax: -50\n",
+ "Bounding box: xmin: -75.49296 ymin: -54.76388 xmax: -70 ymax: -50\n",
"Geodetic CRS: WGS 84\n",
- "[1] 173\n",
+ "[1] 162\n",
"Reading layer `60N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 0 ymin: 50 xmax: 10 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 174\n",
+ "[1] 163\n",
"Reading layer `60N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 124 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 50 xmax: 20 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 175\n",
+ "[1] 164\n",
"Reading layer `60N_010W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_010W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_010W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 10 features and 1 field\n",
+ "Simple feature collection with 9 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -10 ymin: 50.00829 xmax: 0 ymax: 58.62469\n",
+ "Bounding box: xmin: -1.913836 ymin: 50.71251 xmax: 0 ymax: 51.8227\n",
"Geodetic CRS: WGS 84\n",
- "[1] 176\n",
+ "[1] 165\n",
"Reading layer `60N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 252 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 50 xmax: 30 ymax: 60\n",
+ "Bounding box: xmin: 20 ymin: 50 xmax: 30 ymax: 59.92543\n",
"Geodetic CRS: WGS 84\n",
- "[1] 177\n",
- "Reading layer `60N_020W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_020W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -10.34797 ymin: 51.59901 xmax: -10 ymax: 53.60398\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 178\n",
+ "[1] 166\n",
"Reading layer `60N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 8 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 30 ymin: 50 xmax: 40 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 179\n",
+ "[1] 167\n",
"Reading layer `60N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 255 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 40 ymin: 50 xmax: 50 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 180\n",
+ "[1] 168\n",
"Reading layer `60N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_050E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 30 features and 1 field\n",
+ "Simple feature collection with 2251 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 50 ymin: 50.01657 xmax: 60 ymax: 60\n",
+ "Bounding box: xmin: 50 ymin: 51.20133 xmax: 60 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 181\n",
+ "[1] 169\n",
"Reading layer `60N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 16 features and 1 field\n",
+ "Simple feature collection with 287 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 60 ymin: 50.31483 xmax: 70 ymax: 60\n",
+ "Bounding box: xmin: 60 ymin: 52.2121 xmax: 70 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 182\n",
+ "[1] 170\n",
"Reading layer `60N_060W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_060W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_060W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 262 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -60 ymin: 50 xmax: -55.44325 ymax: 55.26926\n",
+ "Bounding box: xmin: -60 ymin: 50 xmax: -55.4681 ymax: 55.10356\n",
"Geodetic CRS: WGS 84\n",
- "[1] 183\n",
+ "[1] 171\n",
"Reading layer `60N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 50.04143 xmax: 80 ymax: 60\n",
+ "Bounding box: xmin: 70 ymin: 50.53024 xmax: 80 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 184\n",
+ "[1] 172\n",
"Reading layer `60N_070W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_070W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_070W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 263 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -70 ymin: 50 xmax: -60 ymax: 59.17978\n",
+ "Bounding box: xmin: -70 ymin: 50 xmax: -60 ymax: 58.92295\n",
"Geodetic CRS: WGS 84\n",
- "[1] 185\n",
+ "[1] 173\n",
"Reading layer `60N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 288 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 80 ymin: 50 xmax: 90 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 186\n",
+ "[1] 174\n",
"Reading layer `60N_080W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_080W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_080W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 266 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -80 ymin: 50 xmax: -70 ymax: 59.15493\n",
+ "Bounding box: xmin: -80 ymin: 50 xmax: -70 ymax: 58.22701\n",
"Geodetic CRS: WGS 84\n",
- "[1] 187\n",
+ "[1] 175\n",
"Reading layer `60N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 90 ymin: 50 xmax: 100 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 188\n",
+ "[1] 176\n",
"Reading layer `60N_090W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_090W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_090W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -90 ymin: 50 xmax: -80 ymax: 56.96769\n",
+ "Bounding box: xmin: -90 ymin: 50 xmax: -80 ymax: 56.7937\n",
"Geodetic CRS: WGS 84\n",
- "[1] 189\n",
+ "[1] 177\n",
"Reading layer `60N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 278 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 100 ymin: 50 xmax: 110 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 190\n",
+ "[1] 178\n",
"Reading layer `60N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_100W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_100W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 285 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 50 xmax: -90 ymax: 60\n",
+ "Bounding box: xmin: -100 ymin: 50 xmax: -90 ymax: 59.71831\n",
"Geodetic CRS: WGS 84\n",
- "[1] 191\n",
+ "[1] 179\n",
"Reading layer `60N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 50 xmax: 120 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 192\n",
+ "[1] 180\n",
"Reading layer `60N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_110W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -110 ymin: 50 xmax: -100 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 193\n",
+ "[1] 181\n",
"Reading layer `60N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 14 features and 1 field\n",
+ "Simple feature collection with 291 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: 50 xmax: 130 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 194\n",
+ "[1] 182\n",
"Reading layer `60N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_120W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -120 ymin: 50 xmax: -110 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 195\n",
+ "[1] 183\n",
"Reading layer `60N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 11 features and 1 field\n",
+ "Simple feature collection with 287 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 130 ymin: 50 xmax: 140 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 196\n",
+ "[1] 184\n",
"Reading layer `60N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_130W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -130 ymin: 50 xmax: -120 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 197\n",
+ "[1] 185\n",
"Reading layer `60N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: 50 xmax: 150 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 198\n",
+ "[1] 186\n",
"Reading layer `60N_140W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_140W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_140W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 268 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -140 ymin: 51.94698 xmax: -130 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 199\n",
+ "[1] 187\n",
"Reading layer `60N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: 50.04971 xmax: 160 ymax: 60\n",
+ "Bounding box: xmin: 150 ymin: 50.058 xmax: 160 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 200\n",
+ "[1] 188\n",
"Reading layer `60N_150W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_150W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_150W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 183 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -150 ymin: 59.66031 xmax: -140 ymax: 60\n",
+ "Bounding box: xmin: -149.5692 ymin: 59.69345 xmax: -140 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 201\n",
+ "[1] 189\n",
"Reading layer `60N_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 264 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: 53.11516 xmax: 166.4374 ymax: 60\n",
+ "Bounding box: xmin: 160 ymin: 53.18144 xmax: 165.1367 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 202\n",
+ "[1] 190\n",
"Reading layer `60N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/60N_160W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/60N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 250 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -155.8161 ymin: 57.42336 xmax: -150 ymax: 60\n",
+ "Bounding box: xmin: -155.0041 ymin: 57.50621 xmax: -150.116 ymax: 60\n",
"Geodetic CRS: WGS 84\n",
- "[1] 203\n",
+ "[1] 191\n",
"Reading layer `70N_000E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_000E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_000E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 249 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 4.813587 ymin: 60 xmax: 10 ymax: 63.89395\n",
+ "Bounding box: xmin: 5.086993 ymin: 60 xmax: 10 ymax: 63.86081\n",
"Geodetic CRS: WGS 84\n",
- "[1] 204\n",
+ "[1] 192\n",
"Reading layer `70N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 276 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 10 ymin: 60 xmax: 20 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 205\n",
+ "[1] 193\n",
"Reading layer `70N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_020E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 12 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 20 ymin: 60 xmax: 30 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 206\n",
+ "[1] 194\n",
"Reading layer `70N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_030E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 290 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30 ymin: 60 xmax: 40 ymax: 69.76802\n",
+ "Bounding box: xmin: 30 ymin: 60 xmax: 40 ymax: 69.71002\n",
"Geodetic CRS: WGS 84\n",
- "[1] 207\n",
+ "[1] 195\n",
"Reading layer `70N_040E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_040E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_040E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 271 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 40 ymin: 60 xmax: 50 ymax: 67.16653\n",
+ "Bounding box: xmin: 40 ymin: 60 xmax: 50 ymax: 67.14996\n",
"Geodetic CRS: WGS 84\n",
- "[1] 208\n",
+ "[1] 196\n",
"Reading layer `70N_050E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_050E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_050E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 976 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 50 ymin: 60 xmax: 60 ymax: 67.39022\n",
"Geodetic CRS: WGS 84\n",
- "[1] 209\n",
+ "[1] 197\n",
"Reading layer `70N_060E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_060E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_060E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 15 features and 1 field\n",
+ "Simple feature collection with 514 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 60 ymin: 60 xmax: 70 ymax: 67.15824\n",
+ "Bounding box: xmin: 60 ymin: 60 xmax: 70 ymax: 67.10853\n",
"Geodetic CRS: WGS 84\n",
- "[1] 210\n",
+ "[1] 198\n",
"Reading layer `70N_070E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_070E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_070E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 268 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 70 ymin: 60 xmax: 80 ymax: 66.38774\n",
+ "Bounding box: xmin: 70 ymin: 60 xmax: 80 ymax: 66.39602\n",
"Geodetic CRS: WGS 84\n",
- "[1] 211\n",
+ "[1] 199\n",
"Reading layer `70N_080E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_080E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_080E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 267 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 80 ymin: 60 xmax: 90 ymax: 69.74316\n",
+ "Bounding box: xmin: 80 ymin: 60 xmax: 90 ymax: 69.63546\n",
"Geodetic CRS: WGS 84\n",
- "[1] 212\n",
+ "[1] 200\n",
"Reading layer `70N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 280 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 90 ymin: 60 xmax: 100 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 213\n",
+ "[1] 201\n",
"Reading layer `70N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 282 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 100 ymin: 60 xmax: 110 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 214\n",
- "Reading layer `70N_100W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_100W_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: -100 ymin: 60 xmax: -95.3024 ymax: 62.72577\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 215\n",
+ "[1] 202\n",
"Reading layer `70N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 7 features and 1 field\n",
+ "Simple feature collection with 288 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 110 ymin: 60 xmax: 120 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 216\n",
+ "[1] 203\n",
"Reading layer `70N_110W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_110W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_110W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 161 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -110 ymin: 60 xmax: -100 ymax: 64.37448\n",
+ "Bounding box: xmin: -110 ymin: 60 xmax: -101.7481 ymax: 62.79205\n",
"Geodetic CRS: WGS 84\n",
- "[1] 217\n",
+ "[1] 204\n",
"Reading layer `70N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 120 ymin: 60 xmax: 130 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 218\n",
+ "[1] 205\n",
"Reading layer `70N_120W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_120W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_120W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 254 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -120 ymin: 60 xmax: -110 ymax: 67.14167\n",
+ "Bounding box: xmin: -120 ymin: 60 xmax: -110 ymax: 65.9652\n",
"Geodetic CRS: WGS 84\n",
- "[1] 219\n",
+ "[1] 206\n",
"Reading layer `70N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 284 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 130 ymin: 60 xmax: 140 ymax: 70\n",
+ "Bounding box: xmin: 130 ymin: 60 xmax: 140 ymax: 69.89229\n",
"Geodetic CRS: WGS 84\n",
- "[1] 220\n",
+ "[1] 207\n",
"Reading layer `70N_130W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_130W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_130W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 256 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -130 ymin: 60 xmax: -120 ymax: 68.7821\n",
+ "Bounding box: xmin: -130 ymin: 60 xmax: -120 ymax: 68.285\n",
"Geodetic CRS: WGS 84\n",
- "[1] 221\n",
+ "[1] 208\n",
"Reading layer `70N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 283 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: 140 ymin: 60 xmax: 150 ymax: 70\n",
"Geodetic CRS: WGS 84\n",
- "[1] 222\n",
+ "[1] 209\n",
"Reading layer `70N_140W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_140W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_140W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -140 ymin: 60 xmax: -130 ymax: 68.99751\n",
+ "Bounding box: xmin: -140 ymin: 60 xmax: -130 ymax: 68.63297\n",
"Geodetic CRS: WGS 84\n",
- "[1] 223\n",
+ "[1] 210\n",
"Reading layer `70N_150E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 282 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 150 ymin: 60 xmax: 160 ymax: 69.79287\n",
+ "Bounding box: xmin: 150 ymin: 60 xmax: 160 ymax: 69.46147\n",
"Geodetic CRS: WGS 84\n",
- "[1] 224\n",
+ "[1] 211\n",
"Reading layer `70N_150W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_150W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_150W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 269 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -150 ymin: 60 xmax: -140 ymax: 68.49213\n",
+ "Bounding box: xmin: -150 ymin: 60 xmax: -140 ymax: 68.26015\n",
"Geodetic CRS: WGS 84\n",
- "[1] 225\n",
+ "[1] 212\n",
"Reading layer `70N_160E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 275 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 160 ymin: 60 xmax: 170 ymax: 69.06379\n",
+ "Bounding box: xmin: 160 ymin: 60 xmax: 170 ymax: 69.02237\n",
"Geodetic CRS: WGS 84\n",
- "[1] 226\n",
+ "[1] 213\n",
"Reading layer `70N_160W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_160W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_160W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 9 features and 1 field\n",
+ "Simple feature collection with 265 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
"Bounding box: xmin: -160 ymin: 60 xmax: -150 ymax: 67.28252\n",
"Geodetic CRS: WGS 84\n",
- "[1] 227\n",
+ "[1] 214\n",
"Reading layer `70N_170E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 77 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 170 ymin: 60.06628 xmax: 178.7572 ymax: 67.46479\n",
+ "Bounding box: xmin: 170 ymin: 60.57995 xmax: 175.8244 ymax: 65.72494\n",
"Geodetic CRS: WGS 84\n",
- "[1] 228\n",
+ "[1] 215\n",
"Reading layer `70N_170W_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/70N_170W_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/70N_170W_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 234 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: -163.3306 ymin: 61.657 xmax: -160 ymax: 65.62552\n",
+ "Bounding box: xmin: -162.9743 ymin: 61.657 xmax: -160 ymax: 65.57581\n",
"Geodetic CRS: WGS 84\n",
- "[1] 229\n",
+ "[1] 216\n",
"Reading layer `80N_010E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_010E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_010E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 8 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 18.66611 ymin: 70 xmax: 19.99171 ymax: 70.27341\n",
+ "Bounding box: xmin: 19.06379 ymin: 70 xmax: 19.65203 ymax: 70.00829\n",
"Geodetic CRS: WGS 84\n",
- "[1] 230\n",
+ "[1] 217\n",
"Reading layer `80N_020E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_020E_IPCC_classes_1km.gpkg' \n",
- " using driver `GPKG'\n",
- "Simple feature collection with 5 features and 1 field\n",
- "Geometry type: MULTIPOLYGON\n",
- "Dimension: XY\n",
- "Bounding box: xmin: 20 ymin: 70 xmax: 29.91715 ymax: 71.07705\n",
- "Geodetic CRS: WGS 84\n",
- "[1] 231\n",
- "Reading layer `80N_030E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_030E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_020E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 1 feature and 1 field\n",
+ "Simple feature collection with 175 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 30.04143 ymin: 70.09114 xmax: 30.31483 ymax: 70.48882\n",
+ "Bounding box: xmin: 21.26761 ymin: 70 xmax: 28.69925 ymax: 70.48053\n",
"Geodetic CRS: WGS 84\n",
- "[1] 232\n",
+ "[1] 218\n",
"Reading layer `80N_090E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_090E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_090E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 251 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 93.16487 ymin: 70 xmax: 100 ymax: 71.97183\n",
+ "Bounding box: xmin: 93.36371 ymin: 70 xmax: 100 ymax: 71.96355\n",
"Geodetic CRS: WGS 84\n",
- "[1] 233\n",
+ "[1] 219\n",
"Reading layer `80N_100E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_100E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_100E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 192 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 100 ymin: 70 xmax: 109.9917 ymax: 71.91384\n",
+ "Bounding box: xmin: 100 ymin: 70 xmax: 106.9677 ymax: 71.61558\n",
"Geodetic CRS: WGS 84\n",
- "[1] 234\n",
+ "[1] 220\n",
"Reading layer `80N_110E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_110E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_110E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 4 features and 1 field\n",
+ "Simple feature collection with 113 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 110.0083 ymin: 70 xmax: 120 ymax: 72.16239\n",
+ "Bounding box: xmin: 110.8285 ymin: 70 xmax: 120 ymax: 71.25932\n",
"Geodetic CRS: WGS 84\n",
- "[1] 235\n",
+ "[1] 221\n",
"Reading layer `80N_120E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_120E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_120E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 6 features and 1 field\n",
+ "Simple feature collection with 228 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 120 ymin: 70 xmax: 128.8235 ymax: 72.2121\n",
+ "Bounding box: xmin: 120 ymin: 70 xmax: 128.5087 ymax: 72.07954\n",
"Geodetic CRS: WGS 84\n",
- "[1] 236\n",
+ "[1] 222\n",
"Reading layer `80N_130E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_130E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_130E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 21 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 131.9387 ymin: 70 xmax: 139.9669 ymax: 70.86164\n",
+ "Bounding box: xmin: 137.6388 ymin: 70 xmax: 139.4615 ymax: 70.28998\n",
"Geodetic CRS: WGS 84\n",
- "[1] 237\n",
+ "[1] 223\n",
"Reading layer `80N_140E_IPCC_classes_1km' from data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/80N_140E_IPCC_classes_1km.gpkg' \n",
+ " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/80N_140E_IPCC_classes_1km.gpkg' \n",
" using driver `GPKG'\n",
- "Simple feature collection with 3 features and 1 field\n",
+ "Simple feature collection with 6 features and 1 field\n",
"Geometry type: MULTIPOLYGON\n",
"Dimension: XY\n",
- "Bounding box: xmin: 140.0166 ymin: 70 xmax: 148.6164 ymax: 70.62966\n",
- "Geodetic CRS: WGS 84\n",
- "Writing layer `IPCC_classes_globe' to data source \n",
- " `/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/IPCC_classes_globe.gpkg' using driver `GPKG'\n",
- "Writing 2146 features with 1 fields and geometry type Multi Polygon.\n"
+ "Bounding box: xmin: 143.4548 ymin: 70 xmax: 147.5891 ymax: 70.04143\n",
+ "Geodetic CRS: WGS 84\n"
]
}
],
"source": [
"################## MERGE ALL VECTOR FILES INTO ONE VECTOR FILE FOR THE GLOBE ###############\n",
"\n",
- "dataFiles = list.files('/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG',pattern=\"*.gpkg$\", recursive=F,full.names=TRUE)\n",
+ "dataFiles = list.files('/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG',pattern=\"*.gpkg$\", recursive=F,full.names=TRUE)\n",
"listOfShp = list()\n",
"print(dataFiles)\n",
"\n",
@@ -2434,7 +2492,7 @@
"}\n",
"\n",
"gedi_l4b_wwfEcozones = do.call(what = sf:::rbind.sf, args=listOfShp)\n",
- "st_write(gedi_l4b_wwfEcozones, \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v5_GPKG/IPCC_classes_globe.gpkg\", driver = \"GPKG\", delete_layer = F)\n",
+ "st_write(gedi_l4b_wwfEcozones, \"/projects/my-public-bucket/Data/Harris_et_al_PAPER/Global_IPCC_classes_ADE_v6_GPKG/IPCC_classes_globe_v6.gpkg\", driver = \"GPKG\", delete_layer = F)\n",
"\n",
"### NOW, IF ALL GOOD, THE FEATURES ARE \"DISSOLVED\" BEFORE RUNNING THE L4B CODE #################"
]
@@ -2490,17 +2548,6 @@
}
],
"source": [
- "packages <- c(\"viridis\",\"tidyverse\")\n",
- "# packages <- c(\"raster\", \"rgdal\", \"terra\", \"sf\", \"sp\")\n",
- "package.check <- lapply(packages, FUN = function(x) {\n",
- " if (!require(x, character.only = TRUE)) {\n",
- " # install.packages(x, dependencies = TRUE)\n",
- " library(x, character.only = TRUE, quietly=TRUE)\n",
- " library(geojsonio)\n",
- " }\n",
- "})\n",
- "tidyverse_conflicts(only = NULL)\n",
- "\n",
"# Create dataset\n",
"data <- data.frame(\n",
" individual=paste( \"Mister \", seq(1,60), sep=\"\"),\n",
diff --git a/country_summaries/IPCC_classes_DPS/Vector/Vector_biomass_in_IPCC.ipynb b/country_summaries/IPCC_classes_DPS/Vector/Vector_biomass_in_IPCC.ipynb
index 3a12c0a..950bf28 100644
--- a/country_summaries/IPCC_classes_DPS/Vector/Vector_biomass_in_IPCC.ipynb
+++ b/country_summaries/IPCC_classes_DPS/Vector/Vector_biomass_in_IPCC.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 9,
"id": "d67a95ef-d324-40eb-8fde-2e17aebc5d9b",
"metadata": {
"tags": []
@@ -20,17 +20,17 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 7,
"id": "3a2b480f-a23e-49fa-b26b-392f27bd9cef",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "'{\"code\": 200, \"message\": {\"id\": \"90b25283451c5f020581e627150c33c7801f46e4\", \"short_id\": \"90b25283\", \"created_at\": \"2023-11-12T20:44:22.000+00:00\", \"parent_ids\": [\"a19a8ee0f8c161c03da41a9f644071ac4f287c38\"], \"title\": \"Registering algorithm: run_Vector_IPCC_classes_ADE\", \"message\": \"Registering algorithm: run_Vector_IPCC_classes_ADE\", \"author_name\": \"root\", \"author_email\": \"root@14e16c2322e1\", \"authored_date\": \"2023-11-12T20:44:22.000+00:00\", \"committer_name\": \"root\", \"committer_email\": \"root@14e16c2322e1\", \"committed_date\": \"2023-11-12T20:44:22.000+00:00\", \"trailers\": {}, \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/commit/90b25283451c5f020581e627150c33c7801f46e4\", \"stats\": {\"additions\": 5, \"deletions\": 5, \"total\": 10}, \"status\": \"pending\", \"project_id\": 3, \"last_pipeline\": {\"id\": 9620, \"iid\": 499, \"project_id\": 3, \"sha\": \"90b25283451c5f020581e627150c33c7801f46e4\", \"ref\": \"main\", \"status\": \"pending\", \"source\": \"push\", \"created_at\": \"2023-11-12T20:44:23.667Z\", \"updated_at\": \"2023-11-12T20:44:24.091Z\", \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/pipelines/9620\"}, \"job_web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9871\", \"job_log_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9871/raw\"}}\\n'"
+ "'{\"code\": 200, \"message\": {\"id\": \"6ba4a5bd1bb21e71d83941524993cf05c8e91271\", \"short_id\": \"6ba4a5bd\", \"created_at\": \"2023-11-12T22:44:41.000+00:00\", \"parent_ids\": [\"90b25283451c5f020581e627150c33c7801f46e4\"], \"title\": \"Registering algorithm: run_Vector_IPCC_classes_ADE\", \"message\": \"Registering algorithm: run_Vector_IPCC_classes_ADE\", \"author_name\": \"root\", \"author_email\": \"root@14e16c2322e1\", \"authored_date\": \"2023-11-12T22:44:41.000+00:00\", \"committer_name\": \"root\", \"committer_email\": \"root@14e16c2322e1\", \"committed_date\": \"2023-11-12T22:44:41.000+00:00\", \"trailers\": {}, \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/commit/6ba4a5bd1bb21e71d83941524993cf05c8e91271\", \"stats\": {\"additions\": 0, \"deletions\": 0, \"total\": 0}, \"status\": \"pending\", \"project_id\": 3, \"last_pipeline\": {\"id\": 9623, \"iid\": 500, \"project_id\": 3, \"sha\": \"6ba4a5bd1bb21e71d83941524993cf05c8e91271\", \"ref\": \"main\", \"status\": \"pending\", \"source\": \"push\", \"created_at\": \"2023-11-12T22:44:42.093Z\", \"updated_at\": \"2023-11-12T22:44:42.501Z\", \"web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/pipelines/9623\"}, \"job_web_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9874\", \"job_log_url\": \"https://repo.maap-project.org/root/register-job-hysds-v4/-/jobs/9874/raw\"}}\\n'"
]
},
- "execution_count": 2,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -51,13 +51,9 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 11,
"id": "63d7cc00-e8bd-47c6-8394-db3c8ef6bfec",
"metadata": {
- "collapsed": true,
- "jupyter": {
- "outputs_hidden": true
- },
"tags": []
},
"outputs": [
@@ -65,528 +61,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "submitting 00N_000E\n",
- "fd2da20d-795f-4737-909f-43f94b22e94c\n",
- "submitting 00N_010E\n",
- "e4b1608f-a5ca-4e59-ba04-cc00cf1c5736\n",
- "submitting 00N_020E\n",
- "51685508-1f97-434d-8cd8-b84aeabd4a4d\n",
- "submitting 00N_030E\n",
- "59c8587b-a081-4567-b37e-a46c376fbc27\n",
- "submitting 00N_040E\n",
- "29fcab85-862d-4ecb-8a1c-d473e8aa064b\n",
- "submitting 00N_040W\n",
- "79fce9df-cb29-4b5e-b53c-7f807961b6b2\n",
- "submitting 00N_050W\n",
- "03b1369f-faec-4634-b033-83236c59a06d\n",
- "submitting 00N_060W\n",
- "39d0ee60-fd03-4de7-932c-493b1de5e845\n",
- "submitting 00N_070W\n",
- "ddc3742e-c727-407e-ab5c-53cb70afaa3a\n",
- "submitting 00N_080W\n",
- "4049eb69-b54a-409f-89fd-c94f9d39e9d8\n",
- "submitting 00N_090E\n",
- "0a852758-57de-4e02-b90b-94c27bbfd39e\n",
- "submitting 00N_090W\n",
- "d0eda23b-377f-43a9-b722-279d9a65bbc2\n",
- "submitting 00N_100E\n",
- "5a8dc15c-bdb2-4742-9f6d-d5468096ae92\n",
- "submitting 00N_110E\n",
- "2b4f5154-6d48-4699-9e84-e01f0eea2b3e\n",
- "submitting 00N_120E\n",
- "9697f8b1-5601-442a-a551-5880758a5c47\n",
- "submitting 00N_130E\n",
- "0dd08864-a3f4-4d5e-a984-219ebb1cb99b\n",
- "submitting 00N_140E\n",
- "ead8188f-f7b9-487f-a2f9-924f7b019676\n",
- "submitting 00N_150E\n",
- "1b6958f6-2029-4c2e-9f58-8eccc1d1e40e\n",
- "submitting 00N_160E\n",
- "fae55623-f70b-4729-95ed-12fc652eb3ff\n",
- "submitting 10N_000E\n",
- "99deb2eb-30a5-47bb-b284-9a6e5b339b38\n",
- "submitting 10N_010E\n",
- "8cf3a073-8836-453c-b927-4a81cbb934b0\n",
- "submitting 10N_010W\n",
- "770d52cf-f778-4bf4-8174-8fca7cea3918\n",
- "submitting 10N_020E\n",
- "0dd709d5-e358-4600-8351-b60853924dc1\n",
- "submitting 10N_020W\n",
- "1fdfd0c1-becf-4a27-981c-8769192720c2\n",
- "submitting 10N_030E\n",
- "e4d287ac-0b45-409e-8d77-b66f98635be6\n",
- "submitting 10N_040E\n",
- "47f7d4f7-b58b-4332-a46e-2d946a885b3e\n",
- "submitting 10N_050E\n",
- "969ff1e9-107d-431f-90b7-a3634bebcd53\n",
- "submitting 10N_050W\n",
- "d897384b-5a87-46e1-99af-22d7f752703c\n",
- "submitting 10N_060W\n",
- "0aac1ea7-465e-4329-93a2-9320a464a569\n",
- "submitting 10N_070E\n",
- "cc228259-c008-415e-9b06-1d978a771eb7\n",
- "submitting 10N_070W\n",
- "21a632cf-8964-4a6e-a25b-af1c7218d68b\n",
- "submitting 10N_080E\n",
- "2b07bb07-97e4-487c-a97f-fa3782ed575a\n",
- "submitting 10N_080W\n",
- "0cad490e-618b-48b6-8ad6-c9927d1d8116\n",
- "submitting 10N_090E\n",
- "fd94a4a3-cd18-4ec5-967b-b088ea8da68f\n",
- "submitting 10N_090W\n",
- "593048f6-d695-407b-8903-19851cb719e5\n",
- "submitting 10N_100E\n",
- "1a648162-72b3-4cba-bb49-53d00d305837\n",
- "submitting 10N_110E\n",
- "c905a33f-4591-4eaa-907e-524e7190aa37\n",
- "submitting 10N_120E\n",
- "01dc36d7-ff05-46b0-8b9d-17726a9935be\n",
- "submitting 10N_130E\n",
- "5ce1503e-0e3b-4309-93d8-b82b4712be48\n",
- "submitting 10S_010E\n",
- "fee74802-7fff-461e-8a4f-d7e53c2da50c\n",
- "submitting 10S_020E\n",
- "80d85610-1021-4999-8ed5-e66ee530c7f9\n",
- "submitting 10S_030E\n",
- "9db93ce5-8267-43f8-b939-95fe5468695e\n",
- "submitting 10S_040E\n",
- "6259acc7-382b-4890-8bb9-8cfae04ed07a\n",
- "submitting 10S_040W\n",
- "3f50559a-083e-45cf-adfd-3d8bf6307952\n",
- "submitting 10S_050E\n",
- "07c6a022-fa9b-41ca-9346-d20e3a056611\n",
- "submitting 10S_050W\n",
- "8293c3e9-b20b-4102-915b-eca2e08bddb4\n",
"submitting 10S_060W\n",
- "94572bc4-d7f7-4479-89d5-8c10f5f749e7\n",
- "submitting 10S_070W\n",
- "7218bd6c-a485-4ab2-bb52-38e50d812ab4\n",
- "submitting 10S_080W\n",
- "8d7dcd1e-27aa-4071-b122-c488591a313c\n",
- "submitting 10S_110E\n",
- "73d6466d-8ff9-4952-b68e-e1ceb2b7eca1\n",
- "submitting 10S_120E\n",
- "bcafc42b-e51b-4ea2-8a31-2b37a9b136ff\n",
- "submitting 10S_130E\n",
- "162b7fb2-efea-491a-b83a-e09223c9be32\n",
- "submitting 10S_140E\n",
- "eeb7b46b-9434-44d3-bc2c-64de8595033e\n",
- "submitting 10S_150E\n",
- "8a22b8f6-094d-43cf-adce-1014087bed01\n",
- "submitting 10S_160E\n",
- "f21311c9-191b-4779-b9ce-cbb2aa8fc0ea\n",
- "submitting 10S_170E\n",
- "a62f2ad7-c259-4ea2-bd22-5832a7c871a7\n",
- "submitting 20N_000E\n",
- "5df10463-0225-4e25-bd82-c0aa9aa43287\n",
- "submitting 20N_010E\n",
- "e6a158e8-98fb-4701-86ed-287b941fa2db\n",
- "submitting 20N_010W\n",
- "ef9a43da-fc4a-4e17-b41f-418bfef5df17\n",
- "submitting 20N_020E\n",
- "37842e40-b0e0-4588-94c1-832a487dce3b\n",
- "submitting 20N_020W\n",
- "f3c237d6-8892-4683-b5f2-dfc9c069dac9\n",
- "submitting 20N_030E\n",
- "8994b4b2-8710-4e51-b4c0-a81af1af86b5\n",
- "submitting 20N_040E\n",
- "649ad0e6-d024-44e3-bd81-68996d2c993b\n",
- "submitting 20N_050E\n",
- "0402b7a9-ea20-465a-933d-19c26871a0fd\n",
- "submitting 20N_060W\n",
- "4c9460af-ac7b-4410-8e89-b981467d922c\n",
- "submitting 20N_070E\n",
- "f261a810-a227-4dbc-be89-9e5bc2f09ab8\n",
- "submitting 20N_070W\n",
- "459f5168-3cc2-4834-9a07-95e4189505fb\n",
- "submitting 20N_080E\n",
- "849fb7c5-0f3c-4d32-a62f-84445bdd5903\n",
- "submitting 20N_080W\n",
- "c05dee19-7777-4275-94f2-de7a7d060085\n",
- "submitting 20N_090E\n",
- "a6044b9d-0eef-45b6-bcb0-8309532814bb\n",
- "submitting 20N_090W\n",
- "ad0fa3d9-8574-4aa8-8625-ee96cbee3b04\n",
- "submitting 20N_100E\n",
- "19aed2ec-32bb-49d9-9829-3ffdca09733c\n",
- "submitting 20N_100W\n",
- "40277835-292c-4acd-8e62-4dcd1165cd7a\n",
- "submitting 20N_110E\n",
- "ae5af511-85b1-4346-8747-4513281e3605\n",
- "submitting 20N_110W\n",
- "417208ba-8d79-4f46-a844-ed27290af619\n",
- "submitting 20N_120E\n",
- "4ef96740-e8cf-49cf-8f69-ed2db637ae41\n",
- "submitting 20N_160W\n",
- "b17c8995-58d4-401e-bfdb-c7bdff412b94\n",
- "submitting 20S_010E\n",
- "00c4634b-b90e-4687-87b0-c7565e8be4e7\n",
- "submitting 20S_020E\n",
- "65965ec3-2637-4c22-93da-04a9e15cfd4f\n",
- "submitting 20S_030E\n",
- "85dc6406-a6e7-4edd-8423-17bf9c3baf8a\n",
- "submitting 20S_040E\n",
- "c1b095e4-775c-49aa-b6b0-82a7579017f8\n",
- "submitting 20S_050W\n",
- "8eae4b55-7b9f-41fb-ad9c-3015d279ea59\n",
- "submitting 20S_060W\n",
- "be703f6d-7b58-4422-95c3-ecda2bcf6010\n",
- "submitting 20S_070W\n",
- "94c77269-13c7-4dd8-8a61-1978cb45e508\n",
- "submitting 20S_080W\n",
- "aec60bb7-9411-4a35-950d-24202767ef50\n",
- "submitting 20S_110E\n",
- "009fa3a1-0dfa-42ae-8ae1-f38d0a273c30\n",
- "submitting 20S_120E\n",
- "65267142-f1f5-498d-ada4-86d8993c44bb\n",
- "submitting 20S_130E\n",
- "4a76d30b-b5f4-493e-85bf-f2cf149541b0\n",
- "submitting 20S_140E\n",
- "6bb3d9c9-99ef-4547-8762-9fec74dce6e3\n",
- "submitting 20S_150E\n",
- "347e73d4-c342-4f26-ad75-bfdfd6eb30f0\n",
- "submitting 20S_160E\n",
- "b7ebad7b-5b98-4689-8f40-bc6a55563e08\n",
- "submitting 30N_000E\n",
- "5e0b5a40-0ff1-49f4-a615-014e8065de95\n",
- "submitting 30N_010E\n",
- "72f9e9f3-6bd5-4fd6-90a5-c93e8dee43f6\n",
- "submitting 30N_010W\n",
- "3f20cb8e-1226-4f44-8953-3eb86f1e7fc8\n",
- "submitting 30N_020E\n",
- "e47c247b-07d9-4fc8-b4e6-0ee59a2cf3e7\n",
- "submitting 30N_020W\n",
- "b4152993-8cbb-4285-a163-d3f1a3e95751\n",
- "submitting 30N_030E\n",
- "350c514a-eba7-46eb-92c7-a8d70a2101fd\n",
- "submitting 30N_040E\n",
- "ed763e79-eae7-41bd-bbf9-1a0d1422d1eb\n",
- "submitting 30N_050E\n",
- "3d5f90fa-1846-492e-a365-7561f3c3e910\n",
- "submitting 30N_060E\n",
- "26de4821-c624-44c0-9eae-bdea56494fcd\n",
- "submitting 30N_070E\n",
- "e0becb39-ff03-4cd9-9a8e-3e869c46b9c1\n",
- "submitting 30N_080E\n",
- "4e0b32a9-cf21-4a15-a1e4-9bf36061dc2f\n",
- "submitting 30N_080W\n",
- "bb6e7263-64a6-49fc-8601-1ac53ac311e6\n",
- "submitting 30N_090E\n",
- "0cfcc7e2-c0d5-4e0f-b5a6-6ba315760695\n",
- "submitting 30N_090W\n",
- "a1520f0b-181c-4d27-b926-ae295c1b441a\n",
- "submitting 30N_100E\n",
- "723b61c1-3f51-4188-a926-465338c6763d\n",
- "submitting 30N_100W\n",
- "bfa8f7fd-ac42-4156-88ad-7eae3083aa80\n",
- "submitting 30N_110E\n",
- "040d6db1-f212-4362-bdf0-6bb1e377e107\n",
- "submitting 30N_110W\n",
- "c2d39a93-52b9-47d6-bcd2-e8de4817cea0\n",
- "submitting 30N_120E\n",
- "bdad2e6a-7b05-4b24-a432-30f3d56c1b21\n",
- "submitting 30N_120W\n",
- "fddf6b0e-6c1e-4080-95b7-096860200b54\n",
- "submitting 30N_130E\n",
- "dfb0ae9f-8677-41cc-9055-ec916e54f4f2\n",
- "submitting 30N_160W\n",
- "c8fc6686-1d33-4164-8bc1-3cba34269992\n",
- "submitting 30N_170W\n",
- "117d340c-07e4-469b-8ab8-245c17afa145\n",
- "submitting 30S_010E\n",
- "1718f419-93a1-43eb-9113-ca01e034b059\n",
- "submitting 30S_020E\n",
- "390e159d-4da3-4ab4-83fb-c164b2d9b185\n",
- "submitting 30S_030E\n",
- "4941643d-4794-4ee4-9f4d-212f4232ac6d\n",
- "submitting 30S_060W\n",
- "85ac8967-35cc-4e3d-9150-3550457b4807\n",
- "submitting 30S_070W\n",
- "7b6cd207-8279-4411-b734-2a0455c2c3ce\n",
- "submitting 30S_080W\n",
- "c5669580-f4fd-45dd-b0df-b77f826df1dd\n",
- "submitting 30S_110E\n",
- "93733aba-2188-4a37-8465-592bcc3609f1\n",
- "submitting 30S_120E\n",
- "a407eff3-9a7c-46a1-940c-bd463034d438\n",
- "submitting 30S_130E\n",
- "da14b61e-9260-49ce-805b-8b5f52aba9d8\n",
- "submitting 30S_140E\n",
- "b67e0cf7-d3ec-4dac-9ad4-d5095f307b0f\n",
- "submitting 30S_150E\n",
- "ac626da1-706a-4923-a811-56df7e18286d\n",
- "submitting 30S_170E\n",
- "bb59e05a-21cf-4d1e-883a-b3cfb7289558\n",
- "submitting 40N_000E\n",
- "1aee29e6-9d1b-4a06-8311-2a573850c6b3\n",
- "submitting 40N_010E\n",
- "9536918e-89a2-48c2-91f0-a0ec50ea4015\n",
- "submitting 40N_010W\n",
- "2552c743-4dee-4a86-9fb2-8908e39d3286\n",
- "submitting 40N_020E\n",
- "ab5f45ec-0cfe-4194-984d-f6338ffefef1\n",
- "submitting 40N_020W\n",
- "60e4c9fb-c57b-413f-893c-8e26ce93adc3\n",
- "submitting 40N_030E\n",
- "0eb265a0-81dd-4cb0-94c6-820eaa8444a9\n",
- "submitting 40N_040E\n",
- "6b67031f-b332-4f4c-84ab-9af0fea6a6e8\n",
- "submitting 40N_050E\n",
- "90c0b494-16b8-40a8-aebf-fc1b9e1d7b32\n",
- "submitting 40N_060E\n",
- "7303ecfa-ee41-421d-9cf5-3a51d10f6b61\n",
- "submitting 40N_070E\n",
- "a03d7812-44b4-42ae-b206-1889a58b7443\n",
- "submitting 40N_080E\n",
- "b56bd1c4-4873-4f2f-84dd-46433d716036\n",
- "submitting 40N_080W\n",
- "f8669fd6-a9cd-4ef6-88d4-2f16f2deec79\n",
- "submitting 40N_090E\n",
- "6d8e2b9c-e243-4114-b6ae-eea3801741ec\n",
- "submitting 40N_090W\n",
- "0137aef5-e3ef-428b-9dff-aa4f8bdaddff\n",
- "submitting 40N_100E\n",
- "b1ef349c-6b6b-4cb9-8630-0830ee4a9aa3\n",
- "submitting 40N_100W\n",
- "135453b6-2074-4382-afd2-d201ebe5f013\n",
- "submitting 40N_110E\n",
- "84cdf3c1-d534-4981-a002-e7e4c60bbf78\n",
- "submitting 40N_110W\n",
- "59a8c498-eea1-4859-85a7-0a51f518e5fd\n",
- "submitting 40N_120E\n",
- "2cb43c5c-b0d1-4043-b89e-b45a5e175b28\n",
- "submitting 40N_120W\n",
- "72226563-10f2-453d-bfd2-f993da578e5c\n",
- "submitting 40N_130E\n",
- "c5b0c9c3-8d64-4bcd-812d-c93b7eb9e09b\n",
- "submitting 40N_130W\n",
- "01f8f6f9-fc82-489d-83ae-c94942e5875a\n",
- "submitting 40N_140E\n",
- "55228b25-cf23-4d0f-8184-9e2bd06518de\n",
- "submitting 40S_070W\n",
- "a2764149-6e8d-41cb-a028-153f76fe52eb\n",
- "submitting 40S_080W\n",
- "368ed920-c2cc-4490-b67d-a9bf3f507032\n",
- "submitting 40S_140E\n",
- "de1663ee-802f-4131-8e83-6114f230c650\n",
- "submitting 40S_160E\n",
- "b0155a42-e490-4305-a7d1-ab0a246334d5\n",
- "submitting 40S_170E\n",
- "04e8bd1b-d0a0-4524-a187-c0c925d99c69\n",
- "submitting 50N_000E\n",
- "27df2494-6b73-4c51-9355-7099a9b3c7fd\n",
- "submitting 50N_010E\n",
- "bed971cc-2de7-407d-9139-24fa4f3e007f\n",
- "submitting 50N_010W\n",
- "287cdca5-ec0a-4694-84bd-828b26c347e9\n",
- "submitting 50N_020E\n",
- "a3d08b53-7b8b-409c-bc6e-ab7305bd5a31\n",
- "submitting 50N_030E\n",
- "b283484f-3a1c-40fb-b62b-307b7f7af510\n",
- "submitting 50N_040E\n",
- "da390fa4-f738-4aa2-a312-51e9798abb61\n",
- "submitting 50N_050E\n",
- "8bfa83b5-358a-4108-8934-fcaa2bab1030\n",
- "submitting 50N_060E\n",
- "28652fd6-cd28-49ba-8333-4d4fd2643668\n",
- "submitting 50N_060W\n",
- "02af991e-e652-4f75-b070-59df041c2158\n",
- "submitting 50N_070E\n",
- "49fd4786-fee3-424f-8937-8a4431251ab8\n",
- "submitting 50N_070W\n",
- "726dfddf-f32b-44a4-ad08-201495f63c52\n",
- "submitting 50N_080E\n",
- "efedee5a-e31d-404b-a327-9cee851cdac2\n",
- "submitting 50N_080W\n",
- "4f7d1559-e31a-4b2e-adad-bcba6456b40d\n",
- "submitting 50N_090E\n",
- "28739ff8-66fe-4a23-a400-4de6d4ad67f8\n",
- "submitting 50N_090W\n",
- "8fd0a817-b467-41d0-8d9b-36929015e61d\n",
- "submitting 50N_100E\n",
- "4fbc256e-9caf-40c2-8d4f-1c0627491b93\n",
- "submitting 50N_100W\n",
- "69812dd0-c0a5-43e2-9e89-94fec199ce3a\n",
- "submitting 50N_110E\n",
- "20f82fc1-779e-445e-b47d-34860807c1e9\n",
- "submitting 50N_110W\n",
- "813c8dd0-9513-4899-b346-68b14f34cbb4\n",
- "submitting 50N_120E\n",
- "ee2cf994-7b48-44b6-937e-fefc1df0e625\n",
- "submitting 50N_120W\n",
- "9e264255-a9d2-4a70-bbc2-e2e47b77e22b\n",
- "submitting 50N_130E\n",
- "5595827b-16ec-46cc-a1c4-60c3013d5b7e\n",
- "submitting 50N_130W\n",
- "b31b2eea-1d60-4fe6-ae0b-d8cbe6f6f7db\n",
- "submitting 50N_140E\n",
- "c656c647-a1f0-4b81-a27d-313b1bad7a5d\n",
- "submitting 50N_150E\n",
- "7a3b10f3-f455-4850-913b-74cc6b433721\n",
- "submitting 50S_070W\n",
- "8bb4d0bb-9be0-4f9f-aa29-5b4620b83060\n",
- "submitting 50S_080W\n",
- "0ecd8a0a-1825-4c36-accb-6d7e7844ae40\n",
- "submitting 60N_000E\n",
- "2a55056c-b36e-473e-a16c-c40d29ecdce6\n",
- "submitting 60N_010E\n",
- "55778729-2c60-48b3-9252-3ba7d370772e\n",
- "submitting 60N_010W\n",
- "ad2f7d9c-9645-40c4-be18-184128640ce7\n",
- "submitting 60N_020E\n",
- "ab02be44-f72c-451a-8a5f-35b87b231ae3\n",
- "submitting 60N_020W\n",
- "6fc47c3b-482c-49c4-8d69-44106ece55e5\n",
- "submitting 60N_030E\n",
- "7f5cb256-8767-462b-ab67-ce39a3a794f6\n",
- "submitting 60N_040E\n",
- "40a5d861-26c0-4cdb-a024-53e6c11550c6\n",
- "submitting 60N_050E\n",
- "a6ff521b-342d-4d5f-a89f-27e9b9d22b69\n",
- "submitting 60N_060E\n",
- "4f7f10c1-2fcf-40b5-9ed2-8348518525ea\n",
- "submitting 60N_060W\n",
- "e4f85c6b-6297-4a0f-bd63-c571a3af3672\n",
- "submitting 60N_070E\n",
- "b1370904-2abb-4d61-941e-42b7e3ab40c3\n",
- "submitting 60N_070W\n",
- "367b7a74-3618-4975-acf9-fdc281b9488a\n",
- "submitting 60N_080E\n",
- "98b3c6af-e092-4171-b8bd-2d09affbfd50\n",
- "submitting 60N_080W\n",
- "6a59f0eb-8673-43c6-b76e-95ff9f6e9a9d\n",
- "submitting 60N_090E\n",
- "dc0b11dd-281d-4556-be98-ac8a8428dc3b\n",
- "submitting 60N_090W\n",
- "2d916c92-1d93-41a7-b2e2-99dd633588c1\n",
- "submitting 60N_100E\n",
- "b4b2a241-c847-4ba3-9364-549a165016e7\n",
- "submitting 60N_100W\n",
- "0bf4714a-4ea0-44c9-8501-b7678eb4418e\n",
- "submitting 60N_110E\n",
- "7c5699cb-4382-49dd-af60-67e6dabb395f\n",
- "submitting 60N_110W\n",
- "559accbc-b029-4091-af2e-61d181a865dd\n",
- "submitting 60N_120E\n",
- "b5888567-b681-47d8-b1f0-4b8d5c065e38\n",
- "submitting 60N_120W\n",
- "a3632d16-6fc6-4ba3-900b-ad778ae20c49\n",
- "submitting 60N_130E\n",
- "43aba188-7c87-40d2-b9e1-af459bc60360\n",
- "submitting 60N_130W\n",
- "4828dbb1-1361-4fb4-b712-450b6b609fb4\n",
- "submitting 60N_140E\n",
- "1e602a34-d03d-4dc5-b0d9-f995b28eea4f\n",
- "submitting 60N_140W\n",
- "5e74c66f-4f2a-44c8-8a41-5fc1662f5733\n",
- "submitting 60N_150E\n",
- "5c99a889-d9f2-4b96-bbcf-477abf78bd94\n",
- "submitting 60N_150W\n",
- "bb7d116a-61c3-438c-a0eb-a8175517988a\n",
- "submitting 60N_160E\n",
- "d761bfab-62c1-4df0-88f8-a803675a3ce5\n",
- "submitting 60N_160W\n",
- "661bf5a2-a470-4acc-8a7d-5d6733585085\n",
- "submitting 60N_170E\n",
- "59140809-486b-4e29-bdf7-e6b7c7f8f80b\n",
- "submitting 60N_170W\n",
- "51e18adb-4c63-4f01-948a-16c4dff22a83\n",
- "submitting 60N_180W\n",
- "de4fa801-3667-4d42-a403-8729069e3287\n",
- "submitting 70N_000E\n",
- "5d7001c6-7d81-4a3b-b940-aea531c3cb26\n",
- "submitting 70N_010E\n",
- "4f63e688-d3ca-46c7-82a2-4ca9b8cb72cc\n",
- "submitting 70N_020E\n",
- "c71869ea-b559-4074-adf6-2e0737d74572\n",
- "submitting 70N_030E\n",
- "254b71f8-682a-4a0c-9a95-95775e2803fe\n",
- "submitting 70N_040E\n",
- "de21dcae-9ce9-47e2-89ab-e71a45de7560\n",
- "submitting 70N_050E\n",
- "7c9d195e-90b4-4dcd-9cde-247dbd43d91f\n",
- "submitting 70N_060E\n",
- "73ac1737-0ff9-4e3d-9c8f-9656082cfebf\n",
- "submitting 70N_070E\n",
- "4713ff86-1df4-4ab1-ab80-788e9cad9d96\n",
- "submitting 70N_070W\n",
- "017f9b0c-ae9b-4e68-9fd7-92daa1b35734\n",
- "submitting 70N_080E\n",
- "fbc2a320-8d82-4c88-be57-33bc84a044a4\n",
- "submitting 70N_080W\n",
- "ffd4f3f2-ef4b-4255-b2c6-eace0fc2c4a8\n",
- "submitting 70N_090E\n",
- "d48e9da1-f1ab-493f-a7a4-81d36e20084b\n",
- "submitting 70N_090W\n",
- "224fd81f-b23c-424e-aa64-0d88248f116b\n",
- "submitting 70N_100E\n",
- "0b781d6b-57c9-4c0c-8f39-9548e5b91851\n",
- "submitting 70N_100W\n",
- "761df4a5-0303-4db0-85c9-2b33aa4fa809\n",
- "submitting 70N_110E\n",
- "1ee6980c-8661-4ba1-9d48-cd6179645dca\n",
- "submitting 70N_110W\n",
- "d02542e6-b424-4dbe-8434-0657197941a4\n",
- "submitting 70N_120E\n",
- "6a611db2-0335-48b6-beee-f4e45e76a09b\n",
- "submitting 70N_120W\n",
- "d927eca5-dd15-4697-a3bf-b5a637ace894\n",
- "submitting 70N_130E\n",
- "de6b6bd8-583c-4d8d-a444-0aa9b80f5e2c\n",
- "submitting 70N_130W\n",
- "f83d9744-ff42-462a-b4bb-fcd537d480f3\n",
- "submitting 70N_140E\n",
- "aa9b55d8-e2a6-47e0-99da-f4b050ee669f\n",
- "submitting 70N_140W\n",
- "99d11e0d-2e58-409e-9db5-b8642cb8d78b\n",
- "submitting 70N_150E\n",
- "70b586f3-0f96-42f1-8429-4528a36a06d9\n",
- "submitting 70N_150W\n",
- "3dcbf878-9235-4a40-80cc-d80c696a792b\n",
- "submitting 70N_160E\n",
- "c1f6473c-9d06-4a86-9319-e1759c8cf7b2\n",
- "submitting 70N_160W\n",
- "fbcea06b-1924-43ef-83d6-2d3d4d19be7d\n",
- "submitting 70N_170E\n",
- "bebac554-9a88-4b03-ba85-c7c3065772a1\n",
- "submitting 70N_170W\n",
- "c77605d2-136e-4769-bd9c-4ea70e5640b0\n",
- "submitting 80N_010E\n",
- "c487ddb8-6238-47c7-8677-1729d6d5f201\n",
- "submitting 80N_020E\n",
- "dd493c5b-13ad-4d85-9099-d595bfadd05c\n",
- "submitting 80N_030E\n",
- "bce53ecf-dcc6-48bc-b71b-b9018f69176c\n",
- "submitting 80N_070E\n",
- "057e1d7e-be1a-4985-bb7e-942259641e34\n",
- "submitting 80N_080E\n",
- "9b62a24c-8496-450b-aacf-95430a619e84\n",
- "submitting 80N_090E\n",
- "3ea608a7-e2f3-4daa-b3a5-dcd1fc0a2cc1\n",
- "submitting 80N_100E\n",
- "32ad5919-2f42-44a9-ac67-ddf6b8ba1b1a\n",
- "submitting 80N_110E\n",
- "8aac566a-9404-4858-bb08-fc8cff776145\n",
- "submitting 80N_120E\n",
- "d06d65a0-9dd8-4fb7-88e8-4ca1e1388ca4\n",
- "submitting 80N_130E\n",
- "f584bba6-5364-4764-8c51-165ce67b98bb\n",
- "submitting 80N_130W\n",
- "ed1a3c51-5090-4ce7-9956-e82fc5bdbd6f\n",
- "submitting 80N_140E\n",
- "02932e24-153c-4dc3-8ab2-7f77a46ff2ee\n",
- "submitting 80N_140W\n",
- "320bfb3a-6e15-4944-823d-f2b2a8b02064\n",
- "submitting 80N_150E\n",
- "a5aac3d9-fe66-4456-872d-8c6627d33801\n",
- "submitting 80N_150W\n",
- "419fe445-02d2-4e55-997e-ad93e90f5060\n",
- "submitting 80N_160E\n",
- "e67690cc-1539-4f61-b5e8-403dfe06db80\n",
- "submitting 80N_160W\n",
- "d650bf5b-93b1-4287-8382-704cdf339d90\n",
- "submitting 80N_170W\n",
- "5656b2e7-da02-4a16-aeea-3877f81d3a7b\n"
+ "3f0712e3-4ddd-43b1-a167-47615f5fe662\n"
]
}
],
@@ -596,6 +72,7 @@
" os.mkdir(Desired_output_folder)\n",
" \n",
"TILES = [\"00N_000E\",\"00N_010E\",\"00N_020E\",\"00N_030E\",\"00N_040E\",\"00N_040W\",\"00N_050W\",\"00N_060W\",\"00N_070W\",\"00N_080W\",\"00N_090E\",\"00N_090W\",\"00N_100E\",\"00N_110E\",\"00N_120E\",\"00N_130E\",\"00N_140E\",\"00N_150E\",\"00N_160E\",\"10N_000E\",\"10N_010E\",\"10N_010W\",\"10N_020E\",\"10N_020W\",\"10N_030E\",\"10N_040E\",\"10N_050E\",\"10N_050W\",\"10N_060W\",\"10N_070E\",\"10N_070W\",\"10N_080E\",\"10N_080W\",\"10N_090E\",\"10N_090W\",\"10N_100E\",\"10N_110E\",\"10N_120E\",\"10N_130E\",\"10S_010E\",\"10S_020E\",\"10S_030E\",\"10S_040E\",\"10S_040W\",\"10S_050E\",\"10S_050W\",\"10S_060W\",\"10S_070W\",\"10S_080W\",\"10S_110E\",\"10S_120E\",\"10S_130E\",\"10S_140E\",\"10S_150E\",\"10S_160E\",\"10S_170E\",\"20N_000E\",\"20N_010E\",\"20N_010W\",\"20N_020E\",\"20N_020W\",\"20N_030E\",\"20N_040E\",\"20N_050E\",\"20N_060W\",\"20N_070E\",\"20N_070W\",\"20N_080E\",\"20N_080W\",\"20N_090E\",\"20N_090W\",\"20N_100E\",\"20N_100W\",\"20N_110E\",\"20N_110W\",\"20N_120E\",\"20N_160W\",\"20S_010E\",\"20S_020E\",\"20S_030E\",\"20S_040E\",\"20S_050W\",\"20S_060W\",\"20S_070W\",\"20S_080W\",\"20S_110E\",\"20S_120E\",\"20S_130E\",\"20S_140E\",\"20S_150E\",\"20S_160E\",\"30N_000E\",\"30N_010E\",\"30N_010W\",\"30N_020E\",\"30N_020W\",\"30N_030E\",\"30N_040E\",\"30N_050E\",\"30N_060E\",\"30N_070E\",\"30N_080E\",\"30N_080W\",\"30N_090E\",\"30N_090W\",\"30N_100E\",\"30N_100W\",\"30N_110E\",\"30N_110W\",\"30N_120E\",\"30N_120W\",\"30N_130E\",\"30N_160W\",\"30N_170W\",\"30S_010E\",\"30S_020E\",\"30S_030E\",\"30S_060W\",\"30S_070W\",\"30S_080W\",\"30S_110E\",\"30S_120E\",\"30S_130E\",\"30S_140E\",\"30S_150E\",\"30S_170E\",\"40N_000E\",\"40N_010E\",\"40N_010W\",\"40N_020E\",\"40N_020W\",\"40N_030E\",\"40N_040E\",\"40N_050E\",\"40N_060E\",\"40N_070E\",\"40N_080E\",\"40N_080W\",\"40N_090E\",\"40N_090W\",\"40N_100E\",\"40N_100W\",\"40N_110E\",\"40N_110W\",\"40N_120E\",\"40N_120W\",\"40N_130E\",\"40N_130W\",\"40N_140E\",\"40S_070W\",\"40S_080W\",\"40S_140E\",\"40S_160E\",\"40S_170E\",\"50N_000E\",\"50N_010E\",\"50N_010W\",\"50N_020E\",\"50N_030E\",\"50N_040E\",\"50N_050E\",\"50N_060E\",\"50N_060W\",\"50N_070E\",\"50N_070W\",\"50N_080E\",\"50N_080W\",\"50N_090E\",\"50N_090W\",\"50N_100E\",\"50N_100W\",\"50N_110E\",\"50N_110W\",\"50N_120E\",\"50N_120W\",\"50N_130E\",\"50N_130W\",\"50N_140E\",\"50N_150E\",\"50S_070W\",\"50S_080W\",\"60N_000E\",\"60N_010E\",\"60N_010W\",\"60N_020E\",\"60N_020W\",\"60N_030E\",\"60N_040E\",\"60N_050E\",\"60N_060E\",\"60N_060W\",\"60N_070E\",\"60N_070W\",\"60N_080E\",\"60N_080W\",\"60N_090E\",\"60N_090W\",\"60N_100E\",\"60N_100W\",\"60N_110E\",\"60N_110W\",\"60N_120E\",\"60N_120W\",\"60N_130E\",\"60N_130W\",\"60N_140E\",\"60N_140W\",\"60N_150E\",\"60N_150W\",\"60N_160E\",\"60N_160W\",\"60N_170E\",\"60N_170W\",\"60N_180W\",\"70N_000E\",\"70N_010E\",\"70N_020E\",\"70N_030E\",\"70N_040E\",\"70N_050E\",\"70N_060E\",\"70N_070E\",\"70N_070W\",\"70N_080E\",\"70N_080W\",\"70N_090E\",\"70N_090W\",\"70N_100E\",\"70N_100W\",\"70N_110E\",\"70N_110W\",\"70N_120E\",\"70N_120W\",\"70N_130E\",\"70N_130W\",\"70N_140E\",\"70N_140W\",\"70N_150E\",\"70N_150W\",\"70N_160E\",\"70N_160W\",\"70N_170E\",\"70N_170W\",\"80N_010E\",\"80N_020E\",\"80N_030E\",\"80N_070E\",\"80N_080E\",\"80N_090E\",\"80N_100E\",\"80N_110E\",\"80N_120E\",\"80N_130E\",\"80N_130W\",\"80N_140E\",\"80N_140W\",\"80N_150E\",\"80N_150W\",\"80N_160E\",\"80N_160W\",\"80N_170W\"]\n",
+ "TILES = [\"10S_060W\"]\n",
"\n",
"i = 0\n",
"count = -1\n",
@@ -607,7 +84,7 @@
" if not os.path.exists(os.path.join(Desired_output_folder,TILE + \"_IPCC_classes_1km.gpkg\")): \n",
" print(\"submitting \" + TILE)\n",
" count +=1\n",
- " time.sleep(5)\n",
+ " time.sleep(2)\n",
" submit_result = maap.submitJob(identifier=\"Vector_IPCC_classes_ADE\", \n",
" algo_id=\"run_Vector_IPCC_classes_ADE\",\n",
" version=\"Vector_IPCC_classes_ADE\",\n",
@@ -624,7 +101,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 2,
"id": "a91aad0d-86d8-421f-80a7-5951d3f5b239",
"metadata": {
"tags": []
@@ -635,9 +112,9 @@
"output_type": "stream",
"text": [
"Moving files...\n",
- "['/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/32/14/386150/00N_000E_IPCC_classes_1km.tif', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/32/53/240403/00N_030E_IPCC_classes_1km.tif', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/33/21/398220/00N_040E_IPCC_classes_1km.tif', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/33/50/641174/00N_040W_IPCC_classes_1km.tif', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/34/41/734935/00N_050W_IPCC_classes_1km.tif', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/35/20/075671/00N_070W_IPCC_classes_1km.tif', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/35/56/324441/00N_080W_IPCC_classes_1km.tif']\n",
+ "['/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/15/01/21/038970/10S_060W_IPCC_classes_1km.tif']\n",
"Moving files...\n",
- "['/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/32/14/386150/00N_000E_IPCC_classes_1km.gpkg', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/32/53/240403/00N_030E_IPCC_classes_1km.gpkg', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/33/21/398220/00N_040E_IPCC_classes_1km.gpkg', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/33/50/641174/00N_040W_IPCC_classes_1km.gpkg', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/34/41/734935/00N_050W_IPCC_classes_1km.gpkg', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/35/20/075671/00N_070W_IPCC_classes_1km.gpkg', '/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/14/35/56/324441/00N_080W_IPCC_classes_1km.gpkg']\n"
+ "['/projects/my-private-bucket/dps_output/run_Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/Vector_IPCC_classes_ADE/2023/11/12/15/01/21/038970/10S_060W_IPCC_classes_1km.gpkg']\n"
]
}
],
@@ -686,7 +163,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.13"
+ "version": "3.10.12"
}
},
"nbformat": 4,
--
GitLab