mlr_resamplings_spcv_disc function

(sperrorest) Spatial "disc" resampling

(sperrorest) Spatial "disc" resampling

Spatial partitioning using circular test areas of one of more observations. Optionally, a buffer around the test area can be used to exclude observations. See the upstream implementation at sperrorest::partition_disc() and Brenning (2012) for further information.

Parameters

  • folds (integer(1))

    Number of folds.

  • radius (numeric(1))

    Radius of test area disc.

  • buffer (integer(1))

    Radius around test area disc which is excluded from training or test set.

  • prob (integer(1))

    Optional argument passed down to sample().

  • replace (logical(1))

    Optional argument passed down to sample(). Sample with or without replacement.

Examples

library(mlr3) task = tsk("ecuador") # Instantiate Resampling rcv = rsmp("spcv_disc", folds = 3L, radius = 200L, buffer = 200L) rcv$instantiate(task) # Individual sets: rcv$train_set(1) rcv$test_set(1) # check that no obs are in both sets intersect(rcv$train_set(1), rcv$test_set(1)) # good! # Internal storage: rcv$instance # table

References

Brenning A (2012). Spatial cross-validation and bootstrap for the assessment of predictionrules in remote sensing: The R package sperrorest.

In 2012 IEEE International Geoscience and Remote Sensing Symposium. tools:::Rd_expr_doi("10.1109/igarss.2012.6352393") .

Super class

mlr3::Resampling -> ResamplingSpCVDisc

Active bindings

  • iters: integer(1)

     Returns the number of resampling iterations, depending on the values stored in the `param_set`.
    

Methods

Public methods

Method new()

Create a "Spatial 'Disc' resampling" resampling instance.

For a list of available arguments, please see sperrorest::partition_disc .

Usage

ResamplingSpCVDisc$new(id = "spcv_disc")

Arguments

  • id: character(1)

     Identifier for the resampling strategy.
    

Method instantiate()

Materializes fixed training and test splits for a given task.

Usage

ResamplingSpCVDisc$instantiate(task)

Arguments

  • task: mlr3::Task

     A task to instantiate.
    

Method clone()

The objects of this class are cloneable with this method.

Usage

ResamplingSpCVDisc$clone(deep = FALSE)

Arguments

  • deep: Whether to make a deep clone.