Package: mlr3spatial Title: Support for Spatial Objects Within the 'mlr3' Ecosystem Version: 0.7.0 Authors@R: c( person("Marc", "Becker", , "marcbecker@posteo.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8115-0400")), person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut", comment = c(ORCID = "0000-0003-0748-6624")) ) Description: Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'. License: LGPL-3 URL: https://mlr3spatial.mlr-org.com, https://github.com/mlr-org/mlr3spatial BugReports: https://github.com/mlr-org/mlr3spatial/issues 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) VignetteBuilder: knitr Config/testthat/edition: 3 Config/testthat/parallel: false Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) Collate: 'DataBackendRaster.R' 'DataBackendVector.R' 'LearnerClassifSpatial.R' 'LearnerRegrSpatial.R' 'TaskRegrST.R' 'TaskClassifST.R' 'TaskClassif_leipzig.R' 'as_task_classif_st.R' 'as_task_regr_st.R' 'as_task_unsupervised.R' 'data.R' 'helper.R' 'predict_spatial.R' 'zzz.R' Config/roxygen2/version: 8.0.0.9000 Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://mlr-org.r-universe.dev Date/Publication: 2026-07-14 12:17:04 UTC RemoteUrl: https://github.com/mlr-org/mlr3spatial RemoteRef: v0.7.0 RemoteSha: 4e7b917c9253b10a87e90f3aef1540a0e2aaa115 NeedsCompilation: no Packaged: 2026-07-14 14:34:15 UTC; root Author: Marc Becker [aut, cre] (ORCID: ), Patrick Schratz [aut] (ORCID: ) Maintainer: Marc Becker