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
