sits (version 1.5.0)

plot.variance_cube: Plot variance cubes

Description

plots a probability cube using stars

Usage

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

Value

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

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)

Author

Gilberto Camara,

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)
}