summary.variance_cube: Summarise variance cubes

In sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes

Summarise variance cubes

Description

This is a generic function. Parameters depend on the specific type of input.

Usage

## S3 method for class 'variance_cube'
summary(
  object,
  ...,
  tile = NULL,
  intervals = 0.05,
  quantiles = c("75%", "80%", "85%", "90%", "95%", "100%")
)

Arguments

object	Object of class "class_cube"
...	Further specifications for summary.
tile	Tile to be summarized
intervals	Intervals to calculate the quantiles
quantiles	Quantiles to be shown

Value

A summary of a variance cube

Author(s)

Gilberto Camara, [e-mail]

Examples

if (sits_run_examples()) {
    # 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
    )
    # create a random forest model
    rfor_model <- sits_train(samples_modis_ndvi, sits_rfor())
    # classify a data cube
    probs_cube <- sits_classify(
        data = cube, ml_model = rfor_model, output_dir = tempdir()
    )
    variance_cube <- sits_variance(
        data = probs_cube,
        output_dir = tempdir()
    )
    summary(variance_cube)
}

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