sits_pred_features {sits}

Obtain numerical values of predictors for time series samples

Description

Predictors are X-Y values required for machine learning algorithms, organized as a data table where each row corresponds to a training sample. The first two columns of the predictors table are categorical ("label_id" and "label"). The other columns are the values of each band and time, organized first by band and then by time. This function returns the numeric values associated to each sample.

Usage

sits_pred_features(pred)

Arguments

pred

X-Y predictors: a data.frame with one row per sample.

Value

The Y predictors for the sample: data.frame with one row per sample.

Note

Please refer to the sits documentation available in <https://e-sensing.github.io/sitsbook/> for detailed examples.

Author(s)

Gilberto Camara, [e-mail]

Examples

if (sits_run_examples()) {
    pred <- sits_predictors(samples_modis_ndvi)
    features <- sits_pred_features(pred)
}