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 [aut, cre], Patrick Schratz [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
CRAN checks:	mlr3spatial results

Documentation:

Reference manual:	mlr3spatial.pdf
Vignettes:	Benchmark Parallel Predictions

Downloads:

Package source:	mlr3spatial_0.5.0.tar.gz
Windows binaries:	r-devel: mlr3spatial_0.5.0.zip, r-release: mlr3spatial_0.5.0.zip, r-oldrel: mlr3spatial_0.5.0.zip
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

Linking:

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