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sits (version 1.5.1)

plot.probs_cube: Plot probability cubes

Description

plots a probability cube using stars

Usage

# S3 method for probs_cube
plot(
  x,
  ...,
  tile = x[["tile"]][[1]],
  labels = NULL,
  palette = "YlGn",
  rev = FALSE,
  scale = 1,
  max_cog_size = 512
)

Value

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

Arguments

x

Object of class "probs_cube".

...

Further specifications for plot.

tile

Tile to be plotted.

labels

Labels to plot.

palette

RColorBrewer palette

rev

Reverse order of colors in palette?

scale

Scale to plot map (0.4 to 1.0)

max_cog_size

Maximum size of COG overviews (lines or columns)

Author

Gilberto Camara, gilberto.camara@inpe.br

Examples

Run this code
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()
    )
    # plot the resulting probability cube
    plot(probs_cube)
}

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