https://github.com/cran/fields
Tip revision: becb27b1c2d6423ce2dcadb74babbee7bbec368d authored by Douglas Nychka on 11 November 2019, 21:50:12 UTC
version 10.0
version 10.0
Tip revision: becb27b
Tps.R
# 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.
#
# 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
"Tps" <- function(x, Y, m = NULL, p = NULL, scale.type = "range",
lon.lat = FALSE, miles = TRUE, method="GCV", GCV=TRUE, ...) {
x <- as.matrix(x)
d <- ncol(x)
if (is.null(p)) {
if (is.null(m)) {
m <- max(c(2, ceiling(d/2 + 0.1)))
}
p <- (2 * m - d)
if (p <= 0) {
stop(" m is too small you must have 2*m - dimension >0")
}
}
# Tpscall <- match.call()
if (!lon.lat) {
# Tpscall$cov.function <- "Thin plate spline radial basis functions (Rad.cov) "
obj<- Krig(x, Y, cov.function = Rad.cov, m = m, scale.type = scale.type,
p = p, method=method, GCV = GCV, ...)
}
else {
# a different coding of the radial basis functions to use great circle distance.
# Tpscall$cov.function <- "Thin plate spline radial basis functions (RadialBasis.cov) using great circle distance "
obj<- Krig(x, Y, cov.function = stationary.cov, m = m, scale.type = scale.type,
method=method, GCV = GCV,
cov.args = list(Covariance = "RadialBasis",
M = m, dimension = 2, Distance = "rdist.earth",
Dist.args = list(miles = miles)), ...)
}
obj$call<- match.call()
class( obj) <- c("Krig", "Tps")
return(obj)
}