plot.variance_cube {sits}

Plot variance cubes

Description

plots a probability cube using stars

Usage

## S3 method for class 'variance_cube'
plot(
  x,
  ...,
  tile = x[["tile"]][[1]],
  labels = NULL,
  palette = "YlGnBu",
  style = "cont",
  n_colors = 10,
  rev = FALSE,
  type = "map",
  scale = 0.8
)

Arguments

x

Object of class "variance_cube".

...

Further specifications for plot.

tile

Tile to be plotted.

labels

Labels to plot (optional).

palette

RColorBrewer palette

style

Method to process the color scale ("cont", "order", "quantile", "fisher", "jenks", "log10")

n_colors

Number of colors to be shown

rev

Reverse order of colors in palette?

type

Type of plot ("map" or "hist")

scale

Scale to plot map (0.4 to 1.0)

Value

A plot containing probabilities associated to each class for each pixel.

Author(s)

Gilberto Camara, [e-mail]

Examples

if (sits_run_examples()) {
    # create a random forest model
    rfor_model <- sits_train(samples_modis_ndvi, sits_rfor())
    # create a data cube from local files
    data_dir <- system.file("extdata/raster/mod13q1", package = "sits")
    cube <- sits_cube(
        source = "BDC",
        collection = "MOD13Q1-6",
        data_dir = data_dir
    )
    # classify a data cube
    probs_cube <- sits_classify(
        data = cube, ml_model = rfor_model, output_dir = tempdir()
    )
    # obtain a variance cube
    var_cube <- sits_variance(probs_cube, output_dir = tempdir())
    # plot the variance cube
    plot(var_cube)
}