autoplot.ResamplingSpCVTiles: Visualization Functions for SpCV Tiles Method.

In mlr3spatiotempcv: Spatiotemporal Resampling Methods for 'mlr3'

Visualization Functions for SpCV Tiles Method.

Description

Generic S3 plot() and autoplot() (ggplot2) methods to visualize mlr3 spatiotemporal resampling objects.

Usage

## S3 method for class 'ResamplingSpCVTiles'
autoplot(
  object,
  task,
  fold_id = NULL,
  plot_as_grid = TRUE,
  train_color = "#0072B5",
  test_color = "#E18727",
  repeats_id = NULL,
  show_omitted = FALSE,
  sample_fold_n = NULL,
  ...
)

## S3 method for class 'ResamplingRepeatedSpCVTiles'
autoplot(
  object,
  task,
  fold_id = NULL,
  repeats_id = 1,
  plot_as_grid = TRUE,
  train_color = "#0072B5",
  test_color = "#E18727",
  show_omitted = FALSE,
  sample_fold_n = NULL,
  ...
)

## S3 method for class 'ResamplingSpCVTiles'
plot(x, ...)

## S3 method for class 'ResamplingRepeatedSpCVTiles'
plot(x, ...)

Arguments

object	⁠[Resampling]⁠ mlr3 spatial resampling object of class ResamplingSpCVBlock or ResamplingRepeatedSpCVBlock.
task	⁠[TaskClassifST]/[TaskRegrST]⁠ mlr3 task object.
fold_id	⁠[numeric]⁠ Fold IDs to plot.
plot_as_grid	⁠[logical(1)]⁠ Should a gridded plot using via patchwork be created? If FALSE a list with of ggplot2 objects is returned. Only applies if a numeric vector is passed to argument fold_id.
train_color	⁠[character(1)]⁠ The color to use for the training set observations.
test_color	⁠[character(1)]⁠ The color to use for the test set observations.
repeats_id	⁠[numeric]⁠ Repetition ID to plot.
show_omitted	⁠[logical]⁠ Whether to show points not used in train or test set for the current fold.
sample_fold_n	⁠[integer]⁠ Number of points in a random sample stratified over partitions. This argument aims to keep file sizes of resulting plots reasonable and reduce overplotting in dense datasets.
...	Passed to geom_sf(). Helpful for adjusting point sizes and shapes.
x	⁠[Resampling]⁠ mlr3 spatial resampling object. One of class ResamplingSpCVBuffer, ResamplingSpCVBlock, ResamplingSpCVCoords, ResamplingSpCVEnv.

Details

Specific combinations of arguments of "spcv_tiles" remove some observations, hence show_omitted has an effect in some cases.

See Also

• mlr3book chapter on "Spatiotemporal Visualization"

• Vignette Spatiotemporal Visualization.

• autoplot.ResamplingSpCVBlock()

• autoplot.ResamplingSpCVBuffer()

• autoplot.ResamplingSpCVCoords()

• autoplot.ResamplingSpCVDisc()

• autoplot.ResamplingSpCVEnv()

• autoplot.ResamplingCV()

Examples

if (mlr3misc::require_namespaces(c("sf", "sperrorest"), quietly = TRUE)) {
  library(mlr3)
  library(mlr3spatiotempcv)
  task = tsk("ecuador")
  resampling = rsmp("spcv_tiles",
    nsplit = c(4L, 3L), reassign = FALSE)
  resampling$instantiate(task)

  autoplot(resampling, task,
    fold_id = 1,
    show_omitted = TRUE, size = 0.7) *
    ggplot2::scale_x_continuous(breaks = seq(-79.085, -79.055, 0.01))
}

mlr3spatiotempcv documentation built on Oct. 24, 2023, 5:07 p.m.