weatherMean: Aggregates daily raster time series.
In henningte/herdersWDA: Functions for Raster Based Weather Time Series Analysis

Description Usage Arguments Value Examples

weatherMean aggregates raster based time series (RasterBrick or RasterStack object, see: Raster-class) by computing mean values along the time series (i.e. no long-term mean values) as monthly mean values, moving window ten-day interval mean values as defined in tenDayLongTermMWMeans and fixed ten-day interval mean values as defined in intervalMean.

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

`variable`	A `RasterBrick` or `RasterStack` object with values on a daily 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`.
`resolution`	Character value indicating the temporal resolution of the mean values. If `resolution = "fixedtendays"`, mean values will be computed for each fixed ten-day interval as defined in `intervalMean`. If `resolution = "mwtendays"`, mean values will be computed for each moving window ten-day interval as defined in `tenDayLongTermMWMeans`. If `resolution = "months"`, mean values will be computed for each month.
`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.