AlphaSDM: Species Distribution Models on 'AlphaEarth' Satellite Embeddings
Fits species distribution models and maps habitat suitability
at up to 10 m resolution from occurrence records alone, using the
'AlphaEarth' Foundations satellite embeddings (Brown et al. 2025)
<doi:10.48550/arXiv.2507.22291>. The embeddings, 64 values per pixel per
year from a geospatial foundation model, replace environmental layers, so
none need to be sourced or aligned. Provides tools to format occurrence
records, place pseudo-absences, train and evaluate an ensemble of machine
learning models, and export habitat-suitability rasters. Sampling, model
training and prediction all run on 'Google Earth Engine', which requires a
free account for noncommercial use.
| Version: |
0.2.0 |
| Imports: |
jsonlite, reticulate (≥ 1.41), sf, stats, utils |
| Suggests: |
stars, withr, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-10-04 |
| DOI: |
10.32614/CRAN.package.AlphaSDM (may not be active yet) |
| Author: |
James Longo [aut, cre, cph] |
| Maintainer: |
James Longo <james.longo.birds at gmail.com> |
| BugReports: |
https://github.com/James-Longo/AlphaSDM/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://james-longo.github.io/AlphaSDM/,
https://github.com/James-Longo/AlphaSDM |
| NeedsCompilation: |
no |
| SystemRequirements: |
Python (>= 3.9) with the 'earthengine-api' module;
'reticulate' installs it automatically when needed. |
| Language: |
en-US |
| Citation: |
AlphaSDM citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
AlphaSDM results |
Documentation:
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