Plot time series and data cubes

This is a generic function. Parameters depend on the specific type of input. See each function description for the required parameters.

• sits tibble: see plot.sits

• patterns: see plot.patterns

• classified time series: see plot.predicted

• raster cube: see plot.raster_cube

• SAR cube: see plot.sar_cube

• DEM cube: see plot.dem_cube

• vector cube: see plot.vector_cube

• classification probabilities: see plot.probs_cube

• classification uncertainty: see plot.uncertainty_cube

• uncertainty of vector cubes: see plot.uncertainty_vector_cube

• classified cube: see plot.class_cube

• classified vector cube: see plot.class_vector_cube

• dendrogram cluster: see plot.sits_cluster

• SOM map: see plot.som_map

• SOM evaluate cluster: see plot.som_evaluate_cluster

• geo-distances: see plot.geo_distances

• random forest model: see plot.rfor_model

• xgboost model: see plot.xgb_model

• torch ML model: see plot.torch_model

Plots the time series to be used for classification

Usage

# S3 method for class 'sits'
plot(x, y, ..., together = TRUE)

Arguments

x

Object of class "sits".

y

Ignored.

...

Further specifications for plot.

together

A logical value indicating whether the samples should be plotted together.

Value

A series of plot objects produced by ggplot2 showing all time series associated to each combination of band and label, and including the median, and first and third quartile ranges.

Author

Gilberto Camara, gilberto.camara@inpe.br

Examples

if (sits_run_examples()) {
    # plot sets of time series
    plot(cerrado_2classes)
}