#
# fields  is a package for analysis of spatial data written for
# the R software environment.
# Copyright (C) 2021 Colorado School of Mines
# 1500 Illinois St., Golden, CO 80401
# Contact: Douglas Nychka,  douglasnychka@gmail.edu,
#
# 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

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",
                    aRange=4.0, smoothness=1.0, lambda=.1)

out2<- Krig( x,y, Z=Z,  cov.function="stationary.cov", Covariance="Matern",
                    aRange=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)