blockCV
Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation
Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates and point samples to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) doi:10.1111/2041-210X.13107.
- Version3.1-5
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- blockCV citation info
- Last release11/01/2024
Documentation
Team
Roozbeh Valavi
Jane Elith
Show author detailsRolesAuthorJosé Lahoz-Monfort
Show author detailsRolesAuthorIan Flint
Show author detailsRolesAuthorGurutzeta Guillera-Arroita
Show author detailsRolesAuthor
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