mlr3spatial 0.6.1
CRAN release: 2025-09-14
- compatibility: mlr3 1.2.0 removed the data format argument
- fix:
$predict_newdata()andpredict_spatial()work without optional column roles likecoordinatenow.
mlr3spatial 0.6.0
CRAN release: 2025-07-18
- fix: Throw an error when
XandYcolumns are present in an sf object
mlr3spatial 0.4.1
CRAN release: 2023-05-03
- refactor: Use the
terra::inMemory()function instead of@ptr.
mlr3spatial 0.4.0
CRAN release: 2023-02-27
- refactor: The data input of
spatial_predict()acceptsSpatRaster,starssfRasterStackandRasterBrickobjects now. Amlr3::TaskUnsupervisedcan still be passed but the argument name changed fromtasktonewdata. - fix: The log showed a warning when the estimated values per chunk were a floating number.
mlr3spatial 0.3.1
CRAN release: 2022-12-16
- chore: Remove
rgdaldependency and requirerasterversion 3.6-11.
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:
TaskClassifSTandTaskRegrSTare 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:
TaskUnsupervisedis 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()andas_task_classif_st()from spatial objects. - feat: Add
as_task_unsupervised()from raster objects. - feat: Task
leipzigwith land cover target. - feat:
data("leipzig")loads ansfobject with land cover in Leipzig. - feat: GeoTIFF and GeoPackage of Leipzig in
extdatafolder. - refactor: Vector data is handled with
DataBackendDataTablenow andDataBackendVectoris removed. - BREAKING CHANGE:
DataBackendRastercannot be created fromRasterLayerobjects 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()anddemo_rasterbrick()functions. - feat: Prediction layer contains
NAat raster cells withNAvalues in one or more feature layers.
