Man pages for blockCV
Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation
| blockCV | blockCV: Spatial and Environmental Blocking for K-Fold and... |
| buffering | Use distance (buffer) around records to separate train and... |
| cv_block_size | Explore spatial block size |
| cv_buffer | Use buffer around records to separate train and test folds... |
| cv_cluster | Use environmental or spatial clustering to separate train and... |
| cv_nndm | Use the Nearest Neighbour Distance Matching (NNDM) to... |
| cv_plot | Visualising folds created by blockCV in ggplot |
| cv_similarity | Compute similarity measures to evaluate possible... |
| cv_spatial | Use spatial blocks to separate train and test folds |
| cv_spatial_autocor | Measure spatial autocorrelation in spatial response data or... |
| 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 |
