Package index • mlr3spatiotempcv

mlr3spatiotempcv

mlr3spatiotempcv mlr3spatiotempcv-package: mlr3spatiotempcv: Spatiotemporal Resampling Methods for 'mlr3'

Spatiotemporal Blocking Methods

These methods use square/rectangular blocks for partitioning.

mlr_resamplings_spcv_block ResamplingSpCVBlock: (blockCV) Spatial block resampling

mlr_resamplings_repeated_spcv_block ResamplingRepeatedSpCVBlock: (blockCV) Repeated spatial block resampling

mlr_resamplings_spcv_tiles ResamplingSpCVTiles: (sperrorest) Spatial "Tiles" resampling

mlr_resamplings_repeated_spcv_tiles ResamplingRepeatedSpCVTiles: (sperrorest) Repeated spatial "tiles" resampling

Spatiotemporal Buffering Methods

These methods support using buffering zones which eventually remove observations between train and test sets.

mlr_resamplings_spcv_buffer ResamplingSpCVBuffer: (blockCV) Spatial buffering resampling

mlr_resamplings_spcv_disc ResamplingSpCVDisc: (sperrorest) Spatial "disc" resampling

mlr_resamplings_repeated_spcv_disc ResamplingRepeatedSpCVDisc: (sperrorest) Repeated spatial "disc" resampling

mlr_resamplings_sptcv_cstf ResamplingSptCVCstf: (CAST) Spatiotemporal "Leave-location-and-time-out" resampling

mlr_resamplings_repeated_sptcv_cstf ResamplingRepeatedSptCVCstf: (CAST) Repeated spatiotemporal "leave-location-and-time-out" resampling

Spatiotemporal Clustering Methods

These methods make use of clustering methods (e.g. k-means) to create (equally-sized) partitions.

mlr_resamplings_spcv_coords ResamplingSpCVCoords: (sperrorest) Coordinate-based k-means clustering

mlr_resamplings_repeated_spcv_coords ResamplingRepeatedSpCVCoords: (sperrorest) Repeated coordinate-based k-means clustering

mlr_resamplings_spcv_disc ResamplingSpCVDisc: (sperrorest) Spatial "disc" resampling

mlr_resamplings_repeated_spcv_disc ResamplingRepeatedSpCVDisc: (sperrorest) Repeated spatial "disc" resampling

mlr_resamplings_spcv_knndm ResamplingSpCVKnndm: (CAST) K-fold Nearest Neighbour Distance Matching

mlr_resamplings_repeated_spcv_knndm ResamplingRepeatedSpCVKnndm: (CAST) Repeated K-fold Nearest Neighbour Distance Matching

Feature Space Clustering Methods

These methods cluster in the feature space and not (necessarily) in space or time.

mlr_resamplings_spcv_env ResamplingSpCVEnv: (blockCV) "Environmental blocking" resampling

mlr_resamplings_repeated_spcv_env ResamplingRepeatedSpCVEnv: (blockCV) Repeated "environmental blocking" resampling

Group-level Partitioning Methods

These methods use (multiple) factor-variables / inherited grouping to create partitions.

mlr_resamplings_sptcv_cstf ResamplingSptCVCstf: (CAST) Spatiotemporal "Leave-location-and-time-out" resampling

mlr_resamplings_repeated_sptcv_cstf ResamplingRepeatedSptCVCstf: (CAST) Repeated spatiotemporal "leave-location-and-time-out" resampling

Spatiotemporal Tasks

Classification and regression tasks.

TaskRegrST: Create a Spatiotemporal Regression Task

as_task_regr_st(): Convert to a Spatiotemporal Regression Task

TaskClassifST: Create a Spatiotemporal Classification Task

as_task_classif_st(): Convert to a Spatiotemporal Classification Task

Spatiotemporal Example Datasets

Tasks appended to the mlr_tasks dictionary.

cookfarm_mlr3: Cookfarm Profiles Regression Task

diplodia: Diplodia Classification Task

ecuador: Ecuador Classification Task

Visualization of spatiotemporal partitions

autoplot(<ResamplingCV>) autoplot(<ResamplingRepeatedCV>) plot(<ResamplingCV>) plot(<ResamplingRepeatedCV>): Visualization Functions for Non-Spatial CV Methods.

autoplot(<ResamplingCustomCV>) plot(<ResamplingCustomCV>): Visualization Functions for Non-Spatial CV Methods.

autoplot(<ResamplingSpCVBlock>) autoplot(<ResamplingRepeatedSpCVBlock>) plot(<ResamplingSpCVBlock>) plot(<ResamplingRepeatedSpCVBlock>): Visualization Functions for SpCV Block Methods.

autoplot(<ResamplingSpCVBuffer>) plot(<ResamplingSpCVBuffer>): Visualization Functions for SpCV Buffer Methods.

autoplot(<ResamplingSpCVCoords>) autoplot(<ResamplingRepeatedSpCVCoords>) plot(<ResamplingSpCVCoords>) plot(<ResamplingRepeatedSpCVCoords>): Visualization Functions for SpCV Coords Methods.

autoplot(<ResamplingSpCVDisc>) autoplot(<ResamplingRepeatedSpCVDisc>) plot(<ResamplingSpCVDisc>) plot(<ResamplingRepeatedSpCVDisc>): Visualization Functions for SpCV Disc Method.

autoplot(<ResamplingSpCVEnv>) autoplot(<ResamplingRepeatedSpCVEnv>) plot(<ResamplingSpCVEnv>) plot(<ResamplingRepeatedSpCVEnv>): Visualization Functions for SpCV Env Methods.

autoplot(<ResamplingSpCVKnndm>) autoplot(<ResamplingRepeatedSpCVKnndm>) plot(<ResamplingSpCVKnndm>) plot(<ResamplingRepeatedSpCVKnndm>): Visualization Functions for SpCV knndm Method.

autoplot(<ResamplingSpCVTiles>) autoplot(<ResamplingRepeatedSpCVTiles>) plot(<ResamplingSpCVTiles>) plot(<ResamplingRepeatedSpCVTiles>): Visualization Functions for SpCV Tiles Method.

autoplot(<ResamplingSptCVCstf>) autoplot(<ResamplingRepeatedSptCVCstf>) plot(<ResamplingSptCVCstf>) plot(<ResamplingRepeatedSptCVCstf>): Visualization Functions for SptCV Cstf Methods.