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: 0.1.1
Depends: mlr3 (≥ 0.12.0), R (≥ 3.1.0)
Imports: checkmate (≥ 2.0.0), data.table (≥ 1.14.0), lgr (≥ 0.4.2), methods, mlr3misc, R6 (≥ 2.5.0), terra (≥ 1.5-12), utils
Suggests: bench, e1071, future, future.callr, knitr, mlr3learners (≥ 0.4.5), mlr3tuning, paradox, ranger, raster, rgdal, rmarkdown, rpart, sf, stars (≥ 0.5-5), testthat (≥ 3.0.0)
Published: 2022-01-20
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: Benchmarking parallel predictions
Getting started


Package source: mlr3spatial_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlr3spatial_0.1.0.tgz, r-release (x86_64): mlr3spatial_0.1.1.tgz, r-oldrel: mlr3spatial_0.1.0.tgz
Old sources: mlr3spatial archive


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