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mlr3spatiotempcv  

Spatiotemporal Resampling Methods for 'mlr3'
View on CRAN: Click here


Download and install mlr3spatiotempcv package within the R console
Install from CRAN:
install.packages("mlr3spatiotempcv")

Install from Github:
library("remotes")
install_github("cran/mlr3spatiotempcv")

Install by package version:
library("remotes")
install_version("mlr3spatiotempcv", "2.3.4")



Attach the package and use:
library("mlr3spatiotempcv")
Maintained by
Patrick Schratz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-11
Latest Update: 2025-08-25
Description:
Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
How to cite:
Patrick Schratz (2020). mlr3spatiotempcv: Spatiotemporal Resampling Methods for 'mlr3'. R package version 2.3.4, https://cran.r-project.org/web/packages/mlr3spatiotempcv. Accessed 13 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-11-11 14:50), 0.1.1 (2021-01-05 19:20), 0.2.0 (2021-03-08 07:50), 0.2.1 (2021-03-20 18:40), 0.3.0 (2021-04-13 17:10), 0.4.0 (2021-06-03 14:10), 0.4.1 (2021-06-23 23:20), 1.0.0 (2021-08-19 19:00), 1.0.1 (2022-03-03 15:40), 2.0.0 (2022-06-14 23:20), 2.0.1 (2022-06-22 23:30), 2.0.2 (2022-08-09 21:00), 2.0.3 (2022-11-19 01:20), 2.1.0 (2023-05-24 17:40), 2.2.0 (2023-10-24 11:40), 2.3.0 (2024-01-22 15:20), 2.3.1 (2024-04-17 14:10), 2.3.2 (2024-11-29 14:10), 2.3.3 (2025-07-10 17:20)
Other packages that cited mlr3spatiotempcv R package
View mlr3spatiotempcv citation profile
Other R packages that mlr3spatiotempcv depends, imports, suggests or enhances
Complete documentation for mlr3spatiotempcv
Functions, R codes and Examples using the mlr3spatiotempcv R package
Some associated functions: TaskClassifST . TaskRegrST . as_task_classif_st . as_task_regr_st . assert_spatial_task . autoplot.ResamplingCV . autoplot.ResamplingCustomCV . autoplot.ResamplingSpCVBlock . autoplot.ResamplingSpCVBuffer . autoplot.ResamplingSpCVCoords . autoplot.ResamplingSpCVDisc . autoplot.ResamplingSpCVEnv . autoplot.ResamplingSpCVKnndm . autoplot.ResamplingSpCVTiles . autoplot.ResamplingSptCVCstf . autoplot . autoplot_multi_fold_dt . mlr3spatiotempcv-package . mlr_resamplings_repeated_spcv_block . mlr_resamplings_repeated_spcv_coords . mlr_resamplings_repeated_spcv_disc . mlr_resamplings_repeated_spcv_env . mlr_resamplings_repeated_spcv_knndm . mlr_resamplings_repeated_spcv_tiles . mlr_resamplings_repeated_sptcv_cstf . mlr_resamplings_spcv_block . mlr_resamplings_spcv_buffer . mlr_resamplings_spcv_coords . mlr_resamplings_spcv_disc . mlr_resamplings_spcv_env . mlr_resamplings_spcv_knndm . mlr_resamplings_spcv_tiles . mlr_resamplings_sptcv_cstf . mlr_tasks_cookfarm_mlr3 . mlr_tasks_diplodia . mlr_tasks_ecuador . strat_sample_folds . 
Some associated R codes: ResamplingRepeatedSpCVBlock.R . ResamplingRepeatedSpCVCoords.R . ResamplingRepeatedSpCVDisc.R . ResamplingRepeatedSpCVEnv.R . ResamplingRepeatedSpCVTiles.R . ResamplingRepeatedSpCVknndm.R . ResamplingRepeatedSptCVCstf.R . ResamplingSpCVBlock.R . ResamplingSpCVBuffer.R . ResamplingSpCVCoords.R . ResamplingSpCVDisc.R . ResamplingSpCVEnv.R . ResamplingSpCVKnndm.R . ResamplingSpCVTiles.R . ResamplingSptCVCstf.R . TaskClassifST.R . TaskRegrST.R . Task_classif_diplodia.R . Task_classif_ecuador.R . Task_regr_cookfarm_profiles.R . aaa.R . as_task_classif_st.R . as_task_regr_st.R . autoplot.R . autoplot_all_folds_dt.R . autoplot_all_folds_list.R . autoplot_multi_fold_dt.R . autoplot_multi_fold_list.R . autoplot_spcv_cstf.R . bibentries.R . helper.R . helper_DataBackend.R . helper_autoplot.R . reexports.R . zzz.R .  Full mlr3spatiotempcv package functions and examples
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