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

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

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

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

# S3 method for ResamplingRepeatedSpCVBlock
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 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.

crs

[character]
EPSG code of the CRS for x and y axes.

...

Not used.

repeats_id

[numeric]
Repetition ID to plot.

x

[Resampling]
mlr3 spatial resampling object. One of class ResamplingSpCVBuffer, ResamplingSpCVBlock, ResamplingSpCVCoords, ResamplingSpCVEnv.

Value

ggplot() or list of ggplot2 objects.

Details

By default a plot is returned; if fold_id is set, a gridded plot is created. If plot_as_grid = FALSE, a list of plot objects is returned. This can be used to align the plots individually.

When no single fold is selected, the ggsci::scale_color_ucscgb() palette is used to display all partitions. If you want to change the colors, call <plot> + <color-palette>().

Examples

if (mlr3misc::require_namespaces(c("sf", "blockCV"), quietly = TRUE)) { library(mlr3) library(mlr3spatiotempcv) task = tsk("ecuador") resampling = rsmp("spcv_block", range = 1000) resampling$instantiate(task) ## Visualize all partitions autoplot(resampling, task) + ggplot2::scale_x_continuous(breaks = seq(-79.085, -79.055, 0.01)) ## Visualize the train/test split of a single fold autoplot(resampling, task, fold_id = 1) ## Visualize train/test splits of multiple folds autoplot(resampling, task, fold_id = c(1, 2)) # list of ggplot2 resamplings plot_list = autoplot(resampling, task, fold_id = c(1, 2), grid = FALSE) }
#> CRS not set, transforming to WGS84 (EPSG: 4326).
#> CRS not set, transforming to WGS84 (EPSG: 4326).
#> CRS not set, transforming to WGS84 (EPSG: 4326).
#> CRS not set, transforming to WGS84 (EPSG: 4326).
#> CRS not set, transforming to WGS84 (EPSG: 4326).
#> CRS not set, transforming to WGS84 (EPSG: 4326).