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1. blockCVblockCVPublic

   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. SDMwithRFsSDMwithRFsPublic

   Modelling species presence-only data with random forests

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3. Presence-Only-SDMPresence-Only-SDMPublic

   Predictive performance of presence-only species distribution models

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4. SDM-Spatial-ValidationSDM-Spatial-ValidationPublic

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

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5. cesaraustralia/CesarCloudcesaraustralia/CesarCloudPublic

   Automation of creating and configuring AWS instances

   HCL 1

6. gdmtoolsgdmtoolsPublic

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

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