https://github.com/cran/RandomFields
Tip revision: e10243fbd4eb0cbeaf518e67fbc5b8ad44889954 authored by Martin Schlather on 12 December 2019, 13:40:13 UTC
version 3.3.7
version 3.3.7
Tip revision: e10243f
RMscale.Rd
\name{RMscale}
\alias{RMscale}
\title{Scale model for arbitrary areas of scales}
\description{
Let \eqn{s_x} the scaling at location \eqn{x} and
\eqn{p} a bijective penalizing function for (different) scales.
Then covariance function is given by
\deqn{C(x,y) = \phi(\|x-y\| + |p(s_x) - p(s_y)|)}
}
\usage{
RMscale(phi, scaling, penalty, var, scale, Aniso, proj)
}
\arguments{
\item{phi}{isotropic submodel}
\item{scaling}{model that gives the non-stationary scaling \eqn{s_x}}
\item{penalty}{bijective function \eqn{p} applied to the \code{scaling}}
\item{var,scale,Aniso,proj}{optional arguments; same meaning for any
\command{\link{RMmodel}}. If not passed, the above
covariance function remains unmodified.}
}
\value{
\command{\link{RMscale}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}.
}
\references{
\itemize{
\item Bonat, W.H. , Ribeiro, P. Jr. and Schlather, M. (2019)
Modelling non-stationarity in scale. In preparation.
}
}
\me
\seealso{
\command{\link{RMSadvanced}},
\command{\link{RMblend}},
\command{\link{RMbubble}}
}
\examples{\dontshow{StartExample()}
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
x <- seq(0,1, 0.01)
scale <- RMcovariate(x=c(0,1), y=c(1,0),#2 areas separated by the 1st bisector
grid=FALSE, data=c(1, 3))
model <- RMscale(RMexp(), scaling = scale, penalty=RMid() / 2)
plot(z <- RFsimulate(model, x, x))
\dontshow{FinalizeExample()}}
\keyword{spatial}
\keyword{models}