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#
# fields is a package for analysis of spatial data written for
# the R software environment.
# Copyright (C) 2024 Colorado School of Mines
# 1500 Illinois St., Golden, CO 80401
# Contact: Douglas Nychka, douglasnychka@gmail.com,
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with the R software environment if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
# or see http://www.r-project.org/Licenses/GPL-2
##END HEADER
offGridWeights<-function(s, gridList, NNSize=2,
mKrigObject=NULL,
Covariance=NULL,
covArgs=NULL,
aRange=NULL, sigma2=NULL,
giveWarnings=TRUE,
debug=FALSE,
verbose=FALSE
)
#
# This is a wrapper function to distinguish between the
# 1D and 2D cases. The 1D is useful to follow the algorithm
# details but typically not needed in practice. The 2D is
# the workhorse for fast approximation simulation of a stationary
# spatial process on a regular grid combined with irregular
# observations
#
{
if( length( gridList)==1){
out<- offGridWeights1D( s=s, gridList=gridList, NNSize=NNSize,
mKrigObject=mKrigObject,
Covariance=Covariance,
covArgs=covArgs,
aRange=aRange,
sigma2=sigma2,
giveWarnings=giveWarnings,
debug=debug,
verbose=verbose)
out$gridList<- gridList
return( out)
}
#
if( length( gridList)==2){
marginInfo<- augmentPredictionGrid( gridList,s,
NNSize=NNSize)
if(marginInfo$expandGrid){
warning("gridList expanded to include enough
nearest neighbors")
gridList<- marginInfo$gridList
}
out<- offGridWeights2D( s=s,
gridList=gridList, NNSize=NNSize,
mKrigObject=mKrigObject,
Covariance=Covariance,
covArgs=covArgs,
aRange=aRange,
sigma2=sigma2,
giveWarnings=giveWarnings,
debug=debug,
verbose=verbose)
return( out )
}
stop("GridList should be either 1 or 2 components")
}
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