mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem

Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.

Version: 0.5.0
Depends: mlr3 (≥ 0.14.0), R (≥ 3.1.0)
Imports: checkmate (≥ 2.0.0), data.table (≥ 1.14.0), lgr (≥ 0.4.2), methods, mlr3misc (≥ 0.11.0), R6 (≥ 2.5.0), sf, terra (≥ 1.6-3), utils
Suggests: bench, future, future.callr, knitr, mlr3learners (≥ 0.4.5), paradox, ranger, raster, rmarkdown, rpart, stars (≥ 0.5-5), testthat (≥ 3.0.0)
Published: 2024-03-09
DOI: 10.32614/CRAN.package.mlr3spatial
Author: Marc Becker ORCID iD [aut, cre], Patrick Schratz ORCID iD [aut]
Maintainer: Marc Becker <marcbecker at>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3spatial results


Reference manual: mlr3spatial.pdf
Vignettes: Benchmark Parallel Predictions


Package source: mlr3spatial_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3spatial_0.5.0.tgz, r-oldrel (arm64): mlr3spatial_0.5.0.tgz, r-release (x86_64): mlr3spatial_0.5.0.tgz, r-oldrel (x86_64): mlr3spatial_0.5.0.tgz
Old sources: mlr3spatial archive

Reverse dependencies:

Reverse suggests: mlr3spatiotempcv


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