Spatio-temporal data, such as MODIS images, time series, or meteorological records from several stations (see Chapter 3, Working with Tables) pose a challenge for analysis and visualization due to their three-dimensional nature. One approach to simplify such data is to perform aggregation in spatial and/or temporal dimensions (another approach to simplify spatio-temporal data is, for example, cluster analysis).
In this section, we will experiment with two approaches to aggregate the data held in the multiband raster
r in order to get additional perspectives on the spatio-temporal behavior of NDVI within the geographic area this raster covers.
More specialized classes and methods (including aggregation) ...