weatherSD: Computes the standard deviation of raster time series.
In henningte/herdersWDA: Functions for Raster Based Weather Time Series Analysis

Description Usage Arguments Value Examples

weatherSD computes the standard deviation of raster based time series (RasterBrick or RasterStack object, see: Raster-class) for the respective temporal resolution.

1 2	weatherSD(variable, tstart = NULL, tend = NULL, resolution = "monthly", timedate, cores = 10, clcall = NULL)

`variable`	A `RasterBrick` or `RasterStack` object with values on a daily resolution.
`timedate`	A `POSIXct` vector containing the time information for each band/layer of `variable`.
`cores`	The number of cores to be used in parallel computing.
`clcall`	A function passed to `clusterCall`.

A list with the first element representing the aggregated raster time series with mean values as specified by resolution as a RasterBrick and the second element a POSIXct vector containing information on the aggregated time intervals as specified by resolution. For fixed ten day intervals, this is an integer vector with increasing values for each ten-day interval.