monthlyLongTermMeans: Computes long-term monthly means of raster time series.
In henningte/herdersWDA: Functions for Raster Based Weather Time Series Analysis

Description Usage Arguments Value Examples

monthlyLongTermMeans aggregates raster based time series (RasterBrick or RasterStack object, see: Raster-class) by computing the long-term mean values for a specified time period grouped by months.

1 2	monthlyLongTermMeans(variable, tstart, tend, cores = 12, timedate, clcall = NULL)

`variable`	A `RasterBrick` or `RasterStack` object with values on a sub-monthly resolution.
`tstart`	Numeric value (four places) for the first year of the time period to consider as long-term interval, e.g. `tstart = 1984`.
`tend`	Numeric value (four places) for the last year of the time period to consider as long-term interval, e.g. `tstart = 2014`.
`cores`	The number of cores to be used in parallel computing.
`timedate`	A `POSIXct` vector containing the time information for each band/layer of `variable`.
`clcall`	A function passed to `clusterCall`.

A list with the first element representing the aggregated raster time series with daily mean values as a RasterBrick and the second element a POSIXct vector containing the date information (i.e. the days).