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>.
Last updated 4 months ago
cross-validationspatialspatial-cross-validationspatial-modellingspecies-distribution-modellingcpp
10.49 score 113 stars 3 dependents 302 scripts 2.0k downloadsdisdat - Data for Comparing Species Distribution Modeling Methods
Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species distribution modelling methods.
Last updated 2 years ago
2.92 score 42 scripts 306 downloads