<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Species Distribution Models on 'AlphaEarth' Satellite Embeddings</dc:title>
  <dc:title>R package AlphaSDM version 0.2.0</dc:title>
  <dc:description>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)
    &lt;doi:10.48550/arXiv.2507.22291&gt;. 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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: jsonlite, reticulate (&gt;= 1.41), sf, stats, utils</dc:relation>
  <dc:relation>Suggests: stars, withr, testthat (&gt;= 3.0.0), knitr, rmarkdown</dc:relation>
  <dc:creator>James Longo &lt;james.longo.birds@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>James Longo [aut, cre, cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=AlphaSDM/LICENSE)</dc:rights>
  <dc:date>2026-10-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=AlphaSDM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.AlphaSDM</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
