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Changelog

Source: NEWS.md

mlr3spatial 0.3.1

CRAN release: 2022-12-16

  • chore: Remove rgdal dependency and require raster version 3.6-11.

mlr3spatial 0.3.0

CRAN release: 2022-10-20

  • feat: Add prediction on vector data to spatial_predict().

mlr3spatial 0.2.1

CRAN release: 2022-08-25

  • fix: Add "space" and "time" column role from mlr3spatiotempcv

mlr3spatial 0.2.0

CRAN release: 2022-08-18

  • BREAKING CHANGE: TaskClassifST and TaskRegrST are used to train a learner with spatial data. The new tasks unify the work with mlr3spatiotempcv.
  • BREAKING CHANGE: Raster objects cannot be used to create tasks for training anymore.
  • BREAKING CHANGE: TaskUnsupervised is used to predict on rasters objects now. The new task type is more convenient for data without a response.
  • feat: Add as_task_regr_st() and as_task_classif_st() from spatial objects.
  • feat: Add as_task_unsupervised() from raster objects.
  • feat: Task leipzig with land cover target.
  • feat: data("leipzig") loads an sf object with land cover in Leipzig.
  • feat: GeoTIFF and GeoPackage of Leipzig in extdata folder.
  • refactor: Vector data is handled with DataBackendDataTable now and DataBackendVector is removed.
  • BREAKING CHANGE: DataBackendRaster cannot be created from RasterLayer objects anymore.
  • fix: spatial_predict() returned an unnamed response.
  • fix: spatial_predict() wrote predictions to the wrong cell.
  • BREAKING CHANGE: Remove demo_raster(), demo_stack_spatraster(), demo_stack_rasterbrick() and demo_rasterbrick() functions.
  • feat: Prediction layer contains NA at raster cells with NA values in one or more feature layers.

mlr3spatial 0.1.2

CRAN release: 2022-03-06

  • refactor: Stars objects are directly converted to terra objects now.

mlr3spatial 0.1.1

CRAN release: 2022-01-20

  • fix: Compatibility to terra update.

mlr3spatial 0.1.0

CRAN release: 2021-11-16

  • First version of mlr3spatial.