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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
"predict.surface" <- function(object, ...) {
UseMethod("predict.surface")
}
predict.surface.default<- function(object,...){
cat("predict.surface is now the function predictSurface")
}
"predictSurface"<- function( object,...){
UseMethod("predictSurface")
}
"predictSurface.default" <- function(object, grid.list = NULL,
extrap = FALSE, chull.mask = NA, nx = 80, ny = 80,
xy = c(1,2), verbose = FALSE, ...) {
# NOTE:
# without grid.list
# default is 80X80 grid on first two variables
# rest are set to median value of x.
if (is.null(grid.list)) {
grid.list <- fields.x.to.grid(object$x, nx = nx, ny = ny,
xy = xy)
}
# here is the heavy lifting
xg <- make.surface.grid(grid.list)
# NOTE: the specific predict function called will need to do the checks
# whether the evaluation of a large number of grid points makes sense.
out <- as.surface( xg, predict(object, xg,...) )
#
# if extrapolate is FALSE set all values outside convex hull to NA
if (!extrap) {
if( is.null( object$x)){
stop("need and x matrix in object")
}
if (is.na(chull.mask)) {
chull.mask <- unique.matrix(object$x[, xy])
}
out$z[!in.poly(xg[, xy], xp = chull.mask, convex.hull = TRUE)] <- NA
}
#
return(out)
}
"predictSurface.fastTps" <- function(object, gridList=NULL,
extrap = FALSE, chull.mask = NA, nx = 80, ny = 80,
xy = c(1,2), verbose = FALSE, ...) {
# NOTE: See predictSurface.default for comments
if (is.null(gridList)) {
gridList <- fields.x.to.grid(object$x, nx = nx, ny = ny,
xy = xy)
}
# in the case of fastTps and not great circle distance
# pass the grid list instead of the locations of grid points
# (see xg in predictSurface.default)
if( object$args$Dist.args$method =="greatcircle"){
out <- predict(object,
xnew= make.surface.grid(gridList),
xy=xy, ...)
}
else{
out <- predict(object, grid.list=gridList, xy=xy, ...)
}
# coerce to image format
out <- as.surface(gridList, out )
#
# if extrapolate is FALSE set all values outside convex hull to NA
if (!extrap) {
if (is.na(chull.mask)) {
chull.mask <- unique.matrix(object$x[, xy])
}
xg<- make.surface.grid( gridList)
out$z[!in.poly(xg[, xy], xp = chull.mask, convex.hull = TRUE)] <- NA
}
#
return(out)
}
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