Support for Spatial Objects Within the 'mlr3' Ecosystem [R package mlr3spatial version 0.6.1]

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: 0.6.1

Depends: mlr3 (≥ 1.2.0), 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: 2025年09月14日

DOI: 10.32614/CRAN.package.mlr3spatial

Author: Marc Becker ORCID iD [aut, cre], Patrick Schratz ORCID iD [aut]

Maintainer: Marc Becker <marcbecker at posteo.de>

BugReports: https://github.com/mlr-org/mlr3spatial/issues

License: LGPL-3

URL: https://mlr3spatial.mlr-org.com, https://github.com/mlr-org/mlr3spatial

NeedsCompilation: no

Materials: README, NEWS

In views: Spatial

CRAN checks: mlr3spatial results

Documentation:

Reference manual: mlr3spatial.html , mlr3spatial.pdf

Vignettes: Benchmark Parallel Predictions (source)

Downloads:

Package source: mlr3spatial_0.6.1.tar.gz

Windows binaries: r-devel: mlr3spatial_0.6.1.zip, r-release: mlr3spatial_0.6.1.zip, r-oldrel: mlr3spatial_0.6.1.zip

macOS binaries: r-release (arm64): mlr3spatial_0.6.1.tgz, r-oldrel (arm64): mlr3spatial_0.6.1.tgz, r-release (x86_64): mlr3spatial_0.6.1.tgz, r-oldrel (x86_64): mlr3spatial_0.6.1.tgz

Old sources: mlr3spatial archive

Reverse dependencies:

Reverse suggests: mlr3spatiotempcv, mlr3verse

Linking:

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