Revision a3c58bc3a0627c8ca001ed72691e59fa025da2f4 authored by Martin Schlather on 08 August 1977, 00:00:00 UTC, committed by Gabor Csardi on 08 August 1977, 00:00:00 UTC
1 parent 9df6a40
RandomFields.Rd
\name{RandomFields}
\alias{RandomFields}
\title{Simulation and Analysis of Random Fields}
\description{
The package \code{RandomFields} allows for simulating various kinds
of random fields. The emphasis is (still) on unconditional simulation
of stationary and isotropic
Gaussian random fields. Furthermore, algorithms for
conditional simulation and simulation of
max-stable random fields are provided.
Additionally, the package includes tools for analysing spatial data:
empirical variogram, interactive fitting, and MLE estimation of
parameters.
Basic kriging procedures are also provided.
Version 2.0 will contain various extensions of the packages
(anisotropic random fields, user defined nested
models and multiplicative models). It is is supposed to be
released the latest by the end of 2002.
}
\details{
The following random fields and related functionallities are
provided by the package.
\enumerate{
\item stationary and isotropic Gaussian random fields\cr
\itemize{
\item \code{\link{CondSimu}} : conditional simulation
\item \code{\link{CovarianceFct}} : covariance functions or
variogram models
\item \code{\link{EmpiricalVariogram}} : empirical variogram
\item \code{\link{GaussRF}} : simulation of Gaussian random
fields; nice examples to get familiar with the
simulation features of the package
\item \code{\link{Kriging}} : simple and ordinary kriging
\item \code{\link{mleRF}} : maximum likelihood estimator for
random field parameters
\item \code{\link{RFparameters}} : control parameters (advanced settings)
\item \code{\link{PrintMethodList}} : list of implemented
simulation methods
\item \code{\link{ShowModels}} : interactive, graphical choice of
models
\item \code{\link{soil}} : Soil physical and chemical data;
the \code{example} gives a simple geostatistical analysis using
features of the package
}
\item stationary and isotropic max-stable random fields\cr
\itemize{
\item \code{\link{CovarianceFct}} : covariance models for
extremal Gaussian random fields
\item \code{\link{MaxStableRF}} : simulation of max-stable
random fields
\item \code{\link{RFparameters}} : control parameters (advanced)
}
\item stationary and isotropic Poisson random fields
(convenient access not implemented yet)\cr
% \itemize{
% \item \code{%\link{
% PoissonRF%}
% } : simulation of Poisson random fields
% }
}
Functions used for diverse simulation methods:
\itemize{
\item \code{\link{DeleteRegister}} : deleting internal registers
}
}
\references{
Schlather, M. (2001) Simulation of stationary and isotropic
random fields. \emph{R News} \bold{1} (2), 18-20.
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.
}
\author{Martin Schlather, \email{Martin.Schlather@uni-bayreuth.de}
\url{http://www.geo.uni-bayreuth.de/~martin}}
\section{Acknowledgement}{
Many thanks to Martin Maechler, Paulo Ribeiro, and Tilmann Gneiting
for proof-reading parts of the code and the help text of this
package.
The work has been supported by the EU TMR network ERB-FMRX-CT96-0095 on
``Computational and statistical methods for the analysis of spatial
data'' in 1999,
and by the German Federal Ministry of Research and Technology
(BMFT) grant PT BEO 51-0339476C during 2000--2001.
}
\keyword{spatial}
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