aggregate: aggregate

In metno/esd.test: Climate analysis and empirical-statistical downscaling (ESD) package for monthly and daily data.

Description

The aggregation is based on the S3 method for zoo objects, but takes care of extra house keeping, such as attributes with meta data.

Usage

aggregate.station(x,by,FUN = 'mean', ..., regular = NULL, frequency = NULL) 
aggregate.field(x,by,FUN = 'mean', ..., regular = NULL, frequency = NULL)
aggregate.comb(x,by,FUN = 'mean', ...,
               regular = NULL, frequency = NULL)
aggregate.area(x,is=NULL,it=NULL,FUN='sum',na.rm=TRUE,smallx=FALSE)

Arguments

x	A station, spell or a field object
by	see aggregate.zoo
FUN	see aggregate.zoo
regular	see aggregate.zoo
frequency	see aggregate.zoo
is	spatial selection - see subset.field
na.rm	TRUE: ignore NA - see see mean

Value

The call returns a station object

Author(s)

R.E. Benestad

See Also

spatial.avg.field as.4seasons, annual

Examples

# Example: use aggregate to compute annual mean temperature for Svalbard:
data(Svalbard)
yr <- year(Svalbard)
y <- aggregate(Svalbard, by=yr, mean, na.rm = FALSE) 
plot(y)

# Example for getting seasonal aggregate of standard deviation of
oslo <- station("Oslo Blindern",stid="193",src="ECAD")
ym <- as.4seasons(oslo,FUN=mean)
ys <- as.4seasons(oslo,FUN=sd)
y <- combine(ym,ys)
plot(y)

x <- t2m.NCEP()
z <- aggregate.area(x)
plot(z)

metno/esd.test documentation built on May 22, 2019, 7:49 p.m.