Pre-built spatiotemporal partition (seasonal workflow)

Output from spatiotemporal_partition run on the synthetic occurrence dataset bundled in inst/extdata/. Built with n_spatial_folds = 2 and n_temporal_folds = 2, producing four cross-validation folds (2 spatial + 2 temporal). Points span 15 years and the seasons Spring, Summer, and Autumn on a 15 x 30 cell study area (3000 m x 1500 m, 100 m pixels) in a custom synthetic local CRS. Predictors attached to each point are forest_cover, prseas (seasonal precipitation), and elevation, all z-scored. Loaded with data(tmr_partition).

Usage

tmr_partition

Format

A list as returned by spatiotemporal_partition, containing $folds, $points_sf, $voronoi_blocks, $voronoi_folds, $summary, and $plots.