sits_som_clean_samples {sits} | R Documentation |
Cleans the samples based on SOM map information
Description
Cleans the samples based on SOM map information
Usage
sits_som_clean_samples(
som_map,
prior_threshold = 0.6,
posterior_threshold = 0.6,
keep = c("clean", "analyze")
)
Arguments
som_map |
Returned by |
prior_threshold |
Threshold of conditional probability (frequency of samples assigned to the same SOM neuron). |
posterior_threshold |
Threshold of posterior probability (influenced by the SOM neighborhood). |
keep |
Which types of evaluation to be maintained in the data. |
Value
tibble with an two additional columns. The first indicates if each sample is clean, should be analyzed or should be removed. The second is the posterior probability of the sample.
Examples
if (sits_run_examples()) {
# create a som map
som_map <- sits_som_map(samples_modis_ndvi)
# plot the som map
plot(som_map)
# evaluate the som map and create clusters
clusters_som <- sits_som_evaluate_cluster(som_map)
# plot the cluster evaluation
plot(clusters_som)
# clean the samples
new_samples <- sits_som_clean_samples(som_map)
}
[Package sits version 1.5.0 Index]