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# fields is a package for analysis of spatial data written for
# the R software environment .
# Copyright (C) 2018
# University Corporation for Atmospheric Research (UCAR)
# Contact: Douglas Nychka, nychka@ucar.edu,
# National Center for Atmospheric Research,
# PO Box 3000, Boulder, CO 80307-3000
#
# 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.
suppressMessages(library(fields))
options( echo=FALSE)
test.for.zero.flag<- 1
data(COmonthlyMet)
y<- CO.tmin.MAM.climate
good<- !is.na( y)
y<-y[good]
x<- CO.loc[good,]
Z<- CO.elev[good]
out<- mKrig( x,y, Z=Z, cov.function="stationary.cov", Covariance="Matern",
theta=4.0, smoothness=1.0, lambda=.1)
out2<- Krig( x,y, Z=Z, cov.function="stationary.cov", Covariance="Matern",
theta=4.0, smoothness=1.0, lambda=.1, GCV=TRUE)
test.for.zero( predict( out), predict(out2), tag="Full prediction")
test.for.zero( predict( out, drop.Z=TRUE), predict(out2, drop.Z=TRUE), tag=" prediction dropping Z")
xnew<- CO.loc[!good,]
Znew<- CO.elev[!good]
temp1<- predict( out, xnew=xnew, drop.Z=TRUE)
temp2<- predict( out2, x=xnew, drop.Z=TRUE)
test.for.zero( temp1,temp2, tag="new x's dropping Z")
temp1<- predict( out, xnew=xnew, Z=Znew)
temp2<- predict( out2, x=xnew, Z=Znew)
test.for.zero( temp1,temp2, tag="new x's new Z's")
temp1<- predictSurface( out, nx=20, ny=20, drop.Z=TRUE, extrap=TRUE)
temp2<- predictSurface( out2, nx=20, ny=20, drop.Z=TRUE, extrap=TRUE)
test.for.zero( temp1$z,temp2$z, tag="predicting on surface with drop.Z")
cat("all done with mKrig Z tests", fill=TRUE)
options( echo=TRUE)
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