mlr3spatial0.6.1 package

Support for Spatial Objects Within the 'mlr3' Ecosystem

as_data_backend

Coerce to spatial DataBackend

as_task_classif_st

Convert to a Spatiotemporal Classification Task

as_task_regr_st

Convert to a Spatiotemporal Regression Task

block_size

Split Raster Into Chunks

DataBackendRaster

DataBackend for Raster Objects

DataBackendVector

DataBackend for Vector Objects

factor_layer

Factor Layer Generator

generate_stack

Generate Raster Stack

mask_stack

Sample Points in Raster Stack

mlr3spatial-package

mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem

numeric_layer

Numeric Layer Generator

predict_spatial

Predict on Spatial Objects with mlr3 Learners

sample_stack

Sample Points in Raster Stack

TaskClassifST

Spatiotemporal Classification Task

TaskRegrST

Spatiotemporal Regression Task

weights_layer

Weights Layer Generator

write_raster

Write a Raster in Chunks

Download source packageRead PDF manual

Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.

  • Maintainer: Marc Becker
  • License: LGPL-3
  • Last published: 2025-09-14

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