plot.uncertainty_cube: Plot uncertainty cubes

In e-sensing/sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes

Plot uncertainty cubes

Description

plots a probability cube using stars

Usage

## S3 method for class 'uncertainty_cube'
plot(
  x,
  ...,
  tile = x$tile[[1]],
  palette = "RdYlGn",
  rev = TRUE,
  tmap_options = NULL
)

Arguments

x	Object of class "probs_image".
...	Further specifications for plot.
tile	Tiles to be plotted.
palette	An RColorBrewer palette
rev	Reverse the color order in the palette?
tmap_options	Named list with optional tmap parameters max_cells (default: 1e+06) scale (default: 1.0) graticules_labels_size (default: 0.7) legend_title_size (default: 1.0) legend_text_size (default: 1.0) legend_bg_color (default: "white") legend_bg_alpha (default: 0.5)

Value

A plot object produced by the stars package with a map showing the uncertainty associated to each classified 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()
    )
    # calculate uncertainty
    uncert_cube <- sits_uncertainty(probs_cube, output_dir = tempdir())
    # plot the resulting uncertainty cube
    plot(uncert_cube)
}

e-sensing/sits documentation built on Jan. 28, 2024, 6:05 a.m.