\name{IntegrationData}
\alias{IntegrationData}
\title{Create an object of class 'IntegrationData'}
\description{The function takes several objects of class \code{\link{IntegrationDataset}} and converts them to an object 'IntegrationData' that is used in \code{\link{RunLPJ}} and \code{\link{OptimizeLPJgenoud}}. }
\usage{IntegrationData(...)}
\arguments{
  \item{\dots}{one or several objects of class 'IntegrationDataset'}
}
\details{No details.}
\value{The function returns a list of class 'IntegrationData'	}
\references{No reference.	}
\author{Matthias Forkel <matthias.forkel@geo.tuwien.ac.at> [aut, cre]}



\seealso{\code{\link{IntegrationDataset}}}
\examples{

# # grid cells for which LPJmL should be run and for which the integration data should be extracted
# xy <- cbind(c(136.75, 137.25, 160.75,168.75), c(45.25, 65.25, 68.75, 63.75))

# # use monthly FAPAR in model-data integration
# fapar <- IntegrationDataset(name="FAPAR", unit="", 
	# data.val.file="GIMMS.FAPAR.1982.2011.nc", 
	# data.unc.file=0.12, 
	# data.time=seq(as.Date("1982-01-01"), as.Date("2011-12-31"), by="month"),
	# model.val.file="mfapar.bin",
	# model.agg=NULL,
	# xy=xy,
	# data.factor=NULL,
	# cost=TRUE,
	# CostFunction=SSE,
	# weight=1)
	
# # use mean annual GPP in model-data integration
# gpp <- IntegrationDataset(name="GPP", unit="gC m-2 yr-1", 
	# data.val.file="MTE.GPP.1982.2011.meanannual.nc", 
	# data.unc.file="MTE.GPPunc.1982.2011.meanannual.nc", 
	# data.time=seq(as.Date("1982-01-01"), as.Date("2011-12-31"), by="month"),
	# model.val.file="mgpp.bin",
	# model.agg=AggSumMean, # sum of each year, mean over all years -> mean annual GPP
	# xy=xy,
	# data.factor=NULL,
	# cost=TRUE,
	# CostFunction=SSE,
	# weight=1)	
	
# integrationdata <- IntegrationData(fapar, gpp)
	
}
