This task specializes Task and TaskSupervised for spatiotemporal classification problems.

A spatial example task is available via tsk("ecuador"), a spatiotemporal one via tsk("cookfarm_mlr3").

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 coords_as_features = TRUE.

Other Task: TaskClassifST, mlr_tasks_cookfarm_mlr3, mlr_tasks_diplodia, mlr_tasks_ecuador

## Super classes

mlr3::Task -> mlr3::TaskSupervised -> mlr3::TaskRegr -> TaskRegrST

## Active bindings

crs

(character(1))
Returns coordinate reference system of task.

coordinate_names

(character())
Coordinate names.

coords_as_features

(logical(1))
If TRUE, coordinates are used as features. This is a shortcut for task$set_col_roles(c("x", "y"), role = "feature") with the assumption that the coordinates in the data are named "x" and "y". ## Methods ### Public methods Inherited methods ### Method new() Create a new spatiotemporal resampling Task Returns coordinates of observations. #### Usage TaskRegrST$new(
id,
backend,
target,
label = NA_character_,
coordinate_names,
crs = NA_character_,
coords_as_features = FALSE,
extra_args = list()
)

#### Arguments

id

(character(1))
Identifier for the new instance.

backend

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

target

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

label

(character(1))
Label for the new instance. Shown in as.data.table(mlr_tasks).

coordinate_names

(character(1))
The column names of the coordinates in the data.

crs

(character(1))
Coordinate reference system. WKT2 or EPSG string.

coords_as_features

(logical(1))

#### Arguments

row_ids

(integer())

#### Arguments

...

#### Arguments

deep

Whether to make a deep clone.