It is useful to visualize the
output of the SOM evaluation, which classifies the samples as
"clean" (good samples), "remove" (possible outliers),
and "analyse" (borderline cases). This function plots the
percentual distribution of the SOM evaluation per class.
To use it, please run sits_som_clean_samples using
the parameter "keep" as "c("clean", "analyze", "remove").
Usage
# S3 method for class 'som_clean_samples'
plot(x, ...)Arguments
- x
Object of class "som_clean_samples".
- ...
Further specifications for plot.
Author
Estefania Pizarro, eapizarroa@ine.gob.cl
Examples
if (sits_run_examples()) {
# create a SOM map
som_map <- sits_som_map(samples_modis_ndvi)
# plot the SOM map
eval <- sits_som_clean_samples(som_map)
plot(eval)
}