mlr3spatiotempcv

Package website: release | dev

Spatiotemporal resampling methods for mlr3.

This package extends the mlr3 package framework with spatiotemporal resampling and visualization methods.

If you prefer the tidymodels ecosystem, have a look at the {spatialsample} package for spatial sampling methods.

Installation

CRAN version

install.packages("mlr3spatiotempcv")

Development version

remotes::install_github("mlr-org/mlr3spatiotempcv")

# R Universe Repo
install.packages('mlr3spatiotempcv', mlrorg = 'https://mlr-org.r-universe.dev')

Get Started

See the "Get Started" vignette for a quick introduction.

For more detailed information including an usage example see the "Spatiotemporal Analysis" chapter in the mlr3book.

Article "Spatiotemporal Visualization" shows how 3D subplots grids can be created.

Citation

To cite the package in publications, use the output of citation("mlr3spatiotempcv").

Resources

• Recorded talk about mlr3spatiotempcv and mlr3spatial at OpenDataScience Europe Conference 2021 in Wageningen, NL
• List of scientific articles related to spatiotemporal modeling and/or spatial partitioning

Other spatiotemporal resampling packages

This list does not claim to be comprehensive.

(Disclaimer: Because CRAN does not like DOI URLs in their automated checks, direct linking to scientific articles is not possible...)

FAQ