| blockCV | blockCV: Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation |
| buffering | Use distance (buffer) around records to separate train and test folds |
| cv_block_size | Explore spatial block size |
| cv_buffer | Use buffer around records to separate train and test folds (a.k.a. buffered/spatial leave-one-out) |
| cv_cluster | Use environmental or spatial clustering to separate train and test folds |
| cv_nndm | Use the Nearest Neighbour Distance Matching (NNDM) to separate train and test folds |
| cv_plot | Visualising folds created by blockCV in ggplot |
| cv_similarity | Compute similarity measures to evaluate possible extrapolation in testing folds |
| cv_spatial | Use spatial blocks to separate train and test folds |
| cv_spatial_autocor | Measure spatial autocorrelation in spatial response data or predictor raster files |
| envBlock | Use environmental clustering to separate train and test folds |
| foldExplorer | Explore the generated folds |
| rangeExplorer | Explore spatial block size |
| spatialAutoRange | Measure spatial autocorrelation in the predictor raster files |
| spatialBlock | Use spatial blocks to separate train and test folds |