Package: mlr3spatial 0.5.0
![](https://github.com/mlr-org/mlr3spatial/raw/v0.5.0/man/figures/logo.png)
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'.
Authors:
mlr3spatial_0.5.0.tar.gz
mlr3spatial_0.5.0.zip(r-4.5)mlr3spatial_0.5.0.zip(r-4.4)mlr3spatial_0.5.0.zip(r-4.3)
mlr3spatial_0.5.0.tgz(r-4.4-any)mlr3spatial_0.5.0.tgz(r-4.3-any)
mlr3spatial_0.5.0.tar.gz(r-4.5-noble)mlr3spatial_0.5.0.tar.gz(r-4.4-noble)
mlr3spatial_0.5.0.tgz(r-4.4-emscripten)mlr3spatial_0.5.0.tgz(r-4.3-emscripten)
mlr3spatial.pdf |mlr3spatial.html✨
mlr3spatial/json (API)
NEWS
# Install 'mlr3spatial' in R: |
install.packages('mlr3spatial', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlr-org/mlr3spatial/issues
- leipzig - Leipzig Land Cover Task
mlr3raster-predictionspatialspatial-modelling
Last updated 6 months agofrom:6dd3417b02 (on v0.5.0). Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 29 2024 |
R-4.5-win | NOTE | Aug 29 2024 |
R-4.5-linux | NOTE | Aug 29 2024 |
R-4.4-win | OK | Aug 29 2024 |
R-4.4-mac | OK | Aug 29 2024 |
R-4.3-win | OK | Aug 29 2024 |
R-4.3-mac | OK | Aug 29 2024 |
Exports:as_data_backend.RasterBrickas_data_backend.RasterStackas_data_backend.sfas_data_backend.SpatRasteras_data_backend.starsas_task_classif_stas_task_classif_st.data.frameas_task_classif_st.DataBackendas_task_classif_st.sfas_task_classif_st.TaskClassifSTas_task_classif_st.TaskRegrSTas_task_regr_stas_task_regr_st.data.frameas_task_regr_st.DataBackendas_task_regr_st.sfas_task_regr_st.TaskClassifSTas_task_regr_st.TaskRegrSTblock_sizeDataBackendRasterDataBackendVectorfactor_layergenerate_stackmask_stacknumeric_layerpredict_spatialsample_stackTaskClassifSTTaskRegrSTwrite_raster
Dependencies:backportscheckmateclassclassIntcodetoolsdata.tableDBIdigeste1071evaluatefuturefuture.applyglobalsKernSmoothlgrlistenvmagrittrMASSmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyproxyPRROCR6Rcpps2sfterraunitsuuidwk
Readme and manuals
Help Manual
Help page | Topics |
---|---|
mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem | mlr3spatial-package mlr3spatial |
Coerce to spatial DataBackend | as_data_backend.RasterBrick as_data_backend.RasterStack as_data_backend.sf as_data_backend.SpatRaster as_data_backend.stars |
Convert to a Spatiotemporal Classification Task | as_task_classif_st as_task_classif_st.data.frame as_task_classif_st.DataBackend as_task_classif_st.sf as_task_classif_st.TaskClassifST as_task_classif_st.TaskRegrST |
Convert to a Spatiotemporal Regression Task | as_task_regr_st as_task_regr_st.data.frame as_task_regr_st.DataBackend as_task_regr_st.sf as_task_regr_st.TaskClassifST as_task_regr_st.TaskRegrST |
DataBackend for Raster Objects | DataBackendRaster |
DataBackend for Vector Objects | DataBackendVector |
Leipzig Land Cover Task | leipzig mlr_tasks_leipzig |
Predict on Spatial Objects with mlr3 Learners | predict_spatial |
Spatiotemporal Classification Task | TaskClassifST |
Spatiotemporal Regression Task | TaskRegrST |