Topic: series

Tool	Description
r.series.accumulate	Makes each output cell value a accumulationfunction of the values assigned to the corresponding cells in the input raster map layers.
r.series.interp	Interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions.

See also the corresponding keyword for additional references:

series

• r.gdd - Makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers.
• r.hants - Approximates a periodic time series and creates approximated output.
• r.jpdf - From two series of input raster maps, calculates the joint probability function and outputs the probabilities of occurrence in the specified bins.
• r.patch - Creates a composite raster map layer by using known category values from one (or more) map layer(s) to fill in areas of "no data" in another map layer.
• r.quantile.ref - Determines quantile for input value from reference raster map layers.
• r.regression.series - Makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers.
• r.seasons - Extracts seasons from a time series.
• r.series - Makes each output cell value a function of the values assigned to the corresponding cells in the input raster map layers.
• r.series.accumulate - Makes each output cell value a accumulationfunction of the values assigned to the corresponding cells in the input raster map layers.
• r.series.decompose - Calculates decomposition of time series X.
• r.series.interp - Interpolates raster maps located (temporal or spatial) in between input raster maps at specific sampling positions.
• r.series.lwr - Approximates a time series and creates approximated, gap-filled output.
• t.rast.patch - Patches multiple space time raster maps into a single raster map using r.patch.
• t.rast.series - Performs different aggregation algorithms from r.series on all or a subset of raster maps in a space time raster dataset.