sits (version 1.1.0)

plot.uncertainty_cube: Plot uncertainty cubes

Description

plots a probability cube using stars

Usage

# S3 method for uncertainty_cube
plot(
  x,
  ...,
  tiles = NULL,
  n_colors = 14,
  intervals = "log",
  palette = "YlOrRd"
)

Value

A plot object produced by the stars package with a map showing the uncertainty associated to each classified pixel.

Arguments

x

Object of class "probs_image".

...

Further specifications for plot.

tiles

Tiles to be plotted.

n_colors

Number of colors to plot.

intervals

Type of class intervals.

palette

HCL palette used for visualization.

Author

Gilberto Camara,

Examples

if (sits_run_examples()) {
    # select a set of samples
    samples_ndvi <- sits_select(samples_modis_4bands, bands = c("NDVI"))
    # create a random forest model
    rfor_model <- sits_train(samples_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,
        delim = "_",
        parse_info = c("X1", "X2", "tile", "band", "date")
    )
    # classify a data cube
    probs_cube <- sits_classify(data = cube, ml_model = rfor_model)
    # calculate uncertainty
    uncert_cube <- sits_uncertainty(probs_cube)
    # plot the resulting uncertainty cube
    plot(uncert_cube)
}