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A spatial example task is available via tsk("ecuador"), a spatiotemporal one via tsk("cookfarm").

The coordinate reference system passed during initialization must match the one which was used during data creation, otherwise offsets of multiple meters may occur. By default, coordinates are not used as features. This can be changed by setting extra_args$coords_as_features = TRUE. ##### Super classes mlr3::Task -> mlr3::TaskSupervised -> mlr3::TaskRegr -> TaskRegrST ##### Public fields extra_args (named list()) Additional task arguments set during construction. Required for convert_task(). ##### Methods ### Public methods ### Method new() Create a new spatiotemporal resampling Task ### Usage TaskRegrST$new(
id,
backend,
target,
extra_args = list(coords_as_features = FALSE, crs = NA, coordinate_names = NA)
)

### Arguments

id

[character(1)] Identifier for the task.

backend

DataBackend Either a DataBackend, or any object which is convertible to a DataBackend with as_data_backend(). E.g., a data.frame() will be converted to a DataBackendDataTable.

target

[character(1)] Name of the target column.

extra_args

[named list] Additional task arguments set during construction. Required for convert_task().

• crs [character(1)] Coordinate reference system. Either a PROJ string or an EPSG code.

• coords_as_features [logical(1)] Whether the coordinates should also be used as features.

• coordinate_names [character(2)] The variables names of the coordinates in the data.

### Method coordinates()

Return the coordinates of the task

### Arguments

...

### Arguments

deep

Whether to make a deep clone.

Other Task: TaskClassifST, mlr_tasks_cookfarm, mlr_tasks_diplodia, mlr_tasks_ecuador