https://github.com/cran/RandomFields
Tip revision: fd4911aa390fd49ddab92bd139bbbf35422e32e5 authored by Martin Schlather on 06 February 2020, 05:20:37 UTC
version 3.3.8
version 3.3.8
Tip revision: fd4911a
RMtruncsupport.Rd
\name{RMtruncsupport}
\alias{RMtruncsupport}
\title{Truncating the Support of a Shape Function}
\description{
\command{\link{RMtruncsupport}} may be used to truncate the support of a shape function when
Poisson fields or M3 processes are created.
}
\usage{
RMtruncsupport(phi, radius)
}
\arguments{
\item{phi}{function of class \code{\link[=RMmodel-class]{RMmodel}}}
\item{radius}{truncation at \code{radius}}
}
\value{
\command{\link{RMtruncsupport}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}.
}
\me
\seealso{
\command{\link{RMmodel}},
\command{\link{RMmatrix}},
\command{\link{RPpoisson}}.
}
\keyword{spatial}
\keyword{models}
\references{
\itemize{
\item Schlather, M. (2002) Models for stationary max-stable
random fields. \emph{Extremes} \bold{5}, 33-44.
}
}
\examples{\dontshow{StartExample()}
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
model <- RMgauss()
model1 <- RMtruncsupport(model, radius=1)
plot(model)
lines(model1, col="red")
## For a real application of 'RMtruncsupport' see example 2 of 'RPpoisson'.
\dontshow{\dontrun{
model <- RPcoins(shape = RMtruncsupport(RMgauss(), radius=1.5), intensity=1)
x <- seq(0, 10, 0.02)
plot(RFsimulate(model, x=x))
}}
\dontshow{FinalizeExample()}}