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  "Title": "Species Distribution Models on 'AlphaEarth' Satellite Embeddings",
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  "Authors@R": "person(\"James\", \"Longo\",\nemail = \"james.longo.birds@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"))",
  "Description": "Fits species distribution models and maps habitat\nsuitability at up to 10 m resolution from occurrence records\nalone, using the 'AlphaEarth' Foundations satellite embeddings\n(Brown et al. 2025) <doi:10.48550/arXiv.2507.22291>. The\nembeddings, 64 values per pixel per year from a geospatial\nfoundation model, replace environmental layers, so none need to\nbe sourced or aligned. Provides tools to format occurrence\nrecords, place pseudo-absences, train and evaluate an ensemble\nof machine learning models, and export habitat-suitability\nrasters. Sampling, model training and prediction all run on\n'Google Earth Engine', which requires a free account for\nnoncommercial use.",
  "License": "MIT + file LICENSE",
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