In this package, we decided to use GDAL and
GRASS software for their functionalities and computational
speed. In the same way, we used Cloud Optimized GeoTIFFs (COG) to
download only the data needed for all climatic files. This technique can
done with the gdal_translate function and the
/vsicurl virtual file system. In R itself,
terra and stars packages help to handle and
visualize Tiff files as R object.
Comparison with 3 different areas : New Caledonia, French Guiana and Madagascar.
For all area, resolution is set to 1km. Others parameters don’t change computing time.
| Area | transform_shp_country_extent | get_env_variable | get_chelsa_current | merge_files | get_chelsa_future |
|---|---|---|---|---|---|
| Madagascar | 2min | 13min | 25min | 6min | 1h15min |
| New Caledonia | 2min | 5min | 9min | 8min | 47min |
| French Guiana | 2min | 3min | 6min | 2min | 25min |