aggregateClimate: Aggregate climate parameters in time and by station
In environmentalinformatics-marburg/metTools:

Description Usage Arguments Value Author(s) See Also Examples

Aggregate climate parameters in time and by station

1	aggregateClimate(dat, dts, plotID, variable, fun, agg = "month")

`dat`	data.frame including Dates, climate parameters for different plots
`dts`	Character. Indicates which column of dat includes the Dates
`plotID`	Character. Indicates which column of dat includes the Plot identifier
`variable`	Character. Indicates which column of dat includes the variable to be aggregated
`fun`	Character. How to aggregate the data. e.g. "mean" or "sum".
`agg`	Character. defines the aggregation level. Either "week","month" or "year"

A data.frame with aggregated climate information

Hanna Meyer

GDD

#Calculate GDD from MODIS day/night data for several plots and aggregate it per month
dat <- get(load(system.file("extdata","ClimateData.RData",package="metTools")))
dat$GDD <- GDD(tmax=dat$tday,tmin=dat$tnight)
GDD_agg <- aggregateClimate(dat,"Date","Plot","GDD","sum")