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.