This is a generic function. Parameters depend on the specific type of input.
Usage
# S3 method for class 'uncertainty_cube'
hist(x, ..., tile = x[["tile"]][[1L]], size = 100000L)
Arguments
- x
Object of class "variance_cube"
- ...
Further specifications for hist.
- tile
Tile to be summarized
- size
Sample size
Author
Gilberto Camara, gilberto.camara@inpe.br
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()
)
uncert_cube <- sits_uncertainty(
cube = probs_cube,
output_dir = tempdir()
)
hist(uncert_cube)
}