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1. blockCV blockCV Public

   The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

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2. SDMwithRFs SDMwithRFs Public

   Modelling species presence-only data with random forests

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3. Presence-Only-SDM Presence-Only-SDM Public

   Predictive performance of presence-only species distribution models

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4. SDM-Spatial-Validation SDM-Spatial-Validation Public

   Appendix S1 for "Flexible species distribution modelling methods perform well on spatially separated testing data"

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5. cesaraustralia/CesarCloud cesaraustralia/CesarCloud Public

   Automation of creating and configuring AWS instances

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6. gdmtools gdmtools Public

   Additional tools for spatial biodiversity analysis, extending the core gdm package functionalities. Based on Mokany et al. (2022).

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