Visualization Functions for SptCV Cluto Methods.

Generic S3 plot() and autoplot() (ggplot2) methods.

# S3 method for ResamplingSptCVCluto
autoplot(
  object,
  task,
  fold_id = NULL,
  plot_as_grid = TRUE,
  train_color = "#0072B5",
  test_color = "#E18727",
  tickformat_date = "%Y-%m",
  crs = NULL,
  nticks_x = 3,
  nticks_y = 3,
  point_size = 3,
  axis_label_fontsize = 11,
  ...
)

# S3 method for ResamplingRepeatedSptCVCluto
autoplot(
  object,
  task,
  fold_id = NULL,
  repeats_id = NULL,
  plot_as_grid = TRUE,
  train_color = "#0072B5",
  test_color = "#E18727",
  crs = NULL,
  ...
)

# S3 method for ResamplingSptCVCluto
plot(x, ...)

# S3 method for ResamplingRepeatedSptCVCluto
plot(x, ...)

Arguments

object	[Resampling] mlr3 spatial resampling object of class ResamplingSptCVCluto or ResamplingRepeatedSptCVCluto.
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 only a list with all ggplot2 resamplings 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.
tickformat_date	[character] Date format for z-axis.
crs	[character] EPSG code of the CRS for x and y axes.
nticks_x	[integer] Number of x axis breaks. Only applies to SptCVCluto.
nticks_y	[integer] Number of y axis breaks. Only applies to SptCVCluto.
point_size	[numeric] Point size of markers.
axis_label_fontsize	[integer] Font size of axis labels.
...	Not used.
repeats_id	[numeric] Repetition ID to plot.
x	[Resampling] mlr3 spatial resampling object of class ResamplingSptCVCluto or ResamplingRepeatedSptCVCluto.

Examples

if (FALSE) {
if (mlr3misc::require_namespaces(c("sf", "skmeans", "plotly"), quietly = TRUE)) {
  library(mlr3)
  library(mlr3spatiotempcv)
  task_st = tsk("cookfarm")
  resampling = rsmp("sptcv_cluto", folds = 5, time_var = "Date")
  resampling$instantiate(task_st)

  # plot
  autoplot(resampling, task_st)
  autoplot(resampling, task_st, 1)
  autoplot(resampling, task_st, c(1, 2))
}
}