https://github.com/cran/RandomFields
Tip revision: f5e4e9ee01c1569e39dffdd0295f7a2131c83516 authored by Martin Schlather on 13 January 2015, 00:00:00 UTC
version 3.0.55
version 3.0.55
Tip revision: f5e4e9e
GaussianFields.Rd
\name{GaussianFields}
\alias{Gaussian}
\title{Methods for Gaussian Random Fields}
\description{
Here, all the methods (models) for simulating
Gaussian random fields are listed
}
\section{Implemented models}{
\tabular{ll}{
\command{\link{RPcirculant}} \tab simulation by circulant embedding \cr
\command{\link{RPcutoff}} \tab simulation by a variant of circulant embedding \cr
\command{\link{RPcoins}} \tab simulation by random coin / shot noise
\cr
\command{\link{RPgauss}} \tab generic model that chooses automatically
among the specific methods
\cr
\command{\link{RPhyperplane}} \tab simulation by hyperplane tessellation \cr
\command{\link{RPintrinsic}} \tab simulation by a variant of circulant
embedding \cr
\command{\link{RPnugget}} \tab simulation of (anisotropic) nugget effects \cr
\command{\link{RPsequential}} \tab sequential method \cr
\command{\link{RPspecific}} \tab model specific methods (very advanced)\cr
\command{\link{RPspectral}} \tab spectral method \cr
\command{\link{RPtbm}} \tab turning bands \cr
}
}
\references{
\itemize{
\item Chiles, J.-P. and Delfiner, P. (1999)
\emph{Geostatistics. Modeling Spatial Uncertainty.}
New York: Wiley.
% \item Gneiting, T. and Schlather, M. (2004)
% Statistical modeling with covariance functions.
% \emph{In preparation.}
\item Schlather, M. (1999) \emph{An introduction to positive definite
functions and to unconditional simulation of random fields.}
Technical report ST 99-10, Dept. of Maths and Statistics,
Lancaster University.
\item Schlather, M. (2010)
On some covariance models based on normal scale mixtures.
\emph{Bernoulli}, \bold{16}, 780-797.
\item Schlather, M. (2011) Construction of covariance functions and
unconditional simulation of random fields. In Porcu, E., Montero, J.M.
and Schlather, M., \emph{Space-Time Processes and Challenges Related
to Environmental Problems.} New York: Springer.
% \item Schlather, M. (2002) Models for stationary max-stable
% random fields. \emph{Extremes} \bold{5}, 33-44.
\item Yaglom, A.M. (1987) \emph{Correlation Theory of Stationary and
Related Random Functions I, Basic Results.}
New York: Springer.
\item Wackernagel, H. (2003) \emph{Multivariate Geostatistics.} Berlin:
Springer, 3nd edition.
}
}
\seealso{
\link{RP},
\command{\link{Other models}},
\command{\link{RMmodel}},
\command{\link{RFsimulateAdvanced}}
}
\examples{
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
x <- seq(0, 10, 0.01)
z <- RFsimulate(RMexp(), x)
RFgetModelInfo(RFsimulate, level=0, which="internal")
# i.e., circulant embedding has been chosen
\dontshow{FinalizeExample()}
}
\author{Martin Schlather, \email{schlather@math.uni-mannheim.de}
\url{http://ms.math.uni-mannheim.de/de/publications/software}
}
\keyword{spatial}