mlr3spatiotempcv

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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").

Other spatiotemporal resampling packages

This list does not claim to be comprehensive.

NameLanguageResources
blockCVRPaper, CRAN
CASTRPaper, CRAN
ENMevalRPaper, CRAN
spatialsampleRCRAN
sperrorestRPaper, CRAN
PyspatialmlPythonGitHub
spacvPythonGitHub

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Install

install.packages('mlr3spatiotempcv')

Monthly Downloads

358

Version

1.0.0

License

LGPL-3

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Last Published

August 19th, 2021

Functions in mlr3spatiotempcv (1.0.0)