| sits_show_prediction {sits} | R Documentation |
This function takes a tibble with a classified time series by a machine learning method and displays the result.
sits_show_prediction(class)
class |
A SITS tibble that has been classified |
returns a tibble with the columns "from", "to", "class"
Gilberto Camara, gilberto.camara@inpe.br
# Retrieve the samples for Mato Grosso # select band "NDVI" samples_ndvi <- sits_select(samples_modis_4bands, bands = "NDVI") # select a random forest model rfor_model <- sits_train(samples_ndvi, sits_rfor(num_trees = 200)) # classify the point point_ndvi <- sits_select(point_mt_6bands, bands = "NDVI") point_class <- sits_classify(point_ndvi, rfor_model) # show the prediction sits_show_prediction(point_class)