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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "AlphaSDM" in publications use:'
type: software
license: MIT
title: 'AlphaSDM: Species Distribution Models on ''AlphaEarth'' Satellite Embeddings'
version: 0.2.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.AlphaSDM
abstract: 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) <https://doi.org/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.
authors:
- family-names: Longo
  given-names: James
  email: james.longo.birds@gmail.com
preferred-citation:
  type: manual
  title: 'AlphaSDM: Species Distribution Models on AlphaEarth Satellite Embeddings'
  authors:
  - family-names: Longo
    given-names: James
    email: james.longo.birds@gmail.com
  year: '2026'
  notes: R package version 0.2.0
  url: https://github.com/James-Longo/AlphaSDM
repository: https://james-longo.r-universe.dev
repository-code: https://github.com/James-Longo/AlphaSDM
commit: f10c48ae6b8c3da6e5f0f132cc86d6e8ca01dbc0
url: https://james-longo.github.io/AlphaSDM/
date-released: '2026-09-23'
contact:
- family-names: Longo
  given-names: James
  email: james.longo.birds@gmail.com