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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
set.seed(123)
nc<- 10
center<- matrix( runif(nc*2), nc,2)
grid.list<- list( x= seq(0,1,,10), y=seq( 0,1,,15))
coef<- rnorm( nc)
delta<- .3
out<- multWendlandGrid( grid.list,center, delta, coef)
xg<- make.surface.grid( grid.list)
test<- Wendland2.2( rdist( xg, center)/delta)%*% coef
test.for.zero.flag<-1
test.for.zero( test, out, tag="Comparing FORTRAN grid eval to matrix vector multiplication")
# testing predictSurface function
nc<- 100
set.seed(12)
x<- matrix( runif(nc*2), nc,2)
y<- rnorm( nc)
delta<- .2
obj<- fastTps( x,y, theta=delta, lambda=.1)
grid.list<- list( x= seq(0,1,,3), y=seq( 0,1,,4))
xg<- make.surface.grid( grid.list)
look0<- c(predict( obj, xg))
look1<- predictSurface( obj, grid.list, extrap=TRUE)
look2<- predict.mKrig( obj, xg)
test.for.zero( look0, c(look1$z), tag="testing PredictSurface and predict.fastTps")
test.for.zero( look0, c(look2), tag="testing PredictSurface with slower mKrig predict")
# new y
set.seed(123)
ynew<- rnorm( nc)
look0<- c(predict( obj, xg, ynew=ynew))
look1<- predictSurface( obj, grid.list, ynew=ynew, extrap=TRUE)
look2<- c(predict(fastTps( x,ynew, theta=delta, lambda=.1) , xg, ynew=ynew))
test.for.zero( look0, look2,tag="predict with ynew")
test.for.zero( look0, c(look1$z), tag="predictSurface with ynew")
options( echo=TRUE)
#
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