rle-python
Core tools for IUCN Red List of Ecosystems (RLE) analysis.
rle-python provides the RLE data model and assessment business logic
(Extent of Occurrence, Area of Occupancy grids, ecosystem code assignment,
criteria/categories) together with local and cloud-file data access — it
has no Earth Engine dependency.
Everything imports under the shared rle namespace:
from rle.core import Ecosystems, make_aoo_grid, make_eoo
eco = Ecosystems.from_file("ecosystems.geojson", ecosystem_column="ECO_NAME")
aoo = make_aoo_grid(eco).compute()
print(aoo.cell_count, aoo.aoo_km2)
eoo = make_eoo(eco).compute()
print(eoo.area_km2)
Installation
pip install rle-python # local files
pip install rle-python[gcs] # + gs:// GeoParquet (gcsfs)
pip install rle-python[aws] # + s3:// GeoParquet (s3fs)
pip install rle-python[viz] # + interactive maps (lonboard) / static fallback
Optional backends
Additional data sources are provided by separate distributions that install
into the same rle namespace and register themselves for discovery:
pip install rle-python-gee # Google Earth Engine backends -> rle.gee
from rle.gee import GeeEcosystems
eco = GeeEcosystems("projects/my-project/assets/ecosystems")
List the backends available in your environment:
rle backends
Layout
rle-python ships the rle.core package under a PEP 420 namespace (rle/),
so multiple rle-* distributions can coexist without conflict.
1 maintainer
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