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: 0.1.0
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 (≥ 1.3-22), utils
Suggests: bench, e1071, future, future.callr, knitr, mlr3learners (≥ 0.4.5), mlr3tuning, paradox, ranger, raster, rgdal, rmarkdown, rpart, sf, stars, testthat (≥ 3.0.0)
Published: 2021-11-16
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
CRAN checks: mlr3spatial results

Documentation:

Reference manual: mlr3spatial.pdf
Vignettes: Benchmarking parallel predictions
Getting started

Downloads:

Package source: mlr3spatial_0.1.0.tar.gz
Windows binaries: r-devel: mlr3spatial_0.1.0.zip, r-release: mlr3spatial_0.1.0.zip, r-oldrel: mlr3spatial_0.1.0.zip
macOS binaries: r-release (arm64): mlr3spatial_0.1.0.tgz, r-release (x86_64): mlr3spatial_0.1.0.tgz, r-oldrel: mlr3spatial_0.1.0.tgz

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