plot.uncertainty_cube: Plot uncertainty cubes

In 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,
  scale = 1,
  first_quantile = 0.02,
  last_quantile = 0.98,
  max_cog_size = 1024
)

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?
scale	Scale to plot map (0.4 to 1.0)
first_quantile	First quantile for stretching images
last_quantile	Last quantile for stretching images
max_cog_size	Maximum size of COG overviews (lines or columns)

Value

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

Note

The following optional parameters are available to allow for detailed control over the plot output:

• graticules_labels_size: size of coordinates labels (default = 0.7)

• legend_title_size: relative size of legend title (default = 1.0)

• legend_text_size: relative size of legend text (default = 1.0)

• legend_bg_color: color of legend background (default = "white")

• legend_bg_alpha: legend opacity (default = 0.5)

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 = "MOD13Q1-6.1",
        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)
}

sits documentation built on Sept. 11, 2024, 6:36 p.m.