This repository was archived by the owner on Aug 25, 2025. It is now read-only.
v0.3.0
Quality checking (#9) * MOD: Remove pyproject.toml dependencies (using conda from now on * FIX: Correct errors introduced in previous commits * MOD: Correct version in CITATION.cff * MOD: Correct Structure in README.md * MOD: -_- * MOD: Remove unused CLI * MOD: Load data as an xarray Dataset * WIP: Mockup of value assignation using xarray selection from a common Dataset * WIP: Still * WIP: lazy_concat not working * WIP: Trouble merging dataarrays into a Dataset * WIP: Turn program into a script type of code (use functions as a top bottom script) * MOD: Treat both buffer sizes in the loop (more efficient since the data is elected and merged each time) * FIX: Local hook doesn't work * FIX: Merge error was caused by the coordinates names * FIX: Created DataFrame with old columns * WIP: EPSG problems (loads 3857 but doesn't change it) * WIP: Projections error fixed * ADD: Functions get_bbox and merge_ds * DEL: Parameter loc (want to compute distance everytime * MOD: Test on the whole data, forgot comment * FIX: Column names when creating DataFrame * FIX: Anophelian diversity error * FIX: NDVI values not accessed through chunks * DEL: Remove unused functions * FIX: Typos * MOD: Rework get_pixel_count function to take advantage of xarray's capabilities * MOD: Rewrite landuse computation, fix typos * FIX: Typos * FIX: Retrieving length of landuse before pivoting the DatFrame * DEL: Remove function get_countries_profile * MOD: Compute the habitat diversity for 500 and 2000 meters buffers. Rework structure to not read the same files over again * MOD: Set datasets as a parameter instead of a config file value * FIX: Set values for multiple columns with iloc, replace Merge function by a clip function (only select data from bbox extent) * MOD: Remove unused code * MOD: Rename files * ADD: Export file to csv * DEL: Useless module * MOD: Merge code used only one time * MO: Bump version number to 0.3.0 * MOD: Update metadata * Autoupdate every month instead of every day