swh:1:snp:90d88b6f05096f57dd0a8e566e80f41cbfef6824
Tip revision: aa42f4e2092050e5a7b271efcbdc64c1af89042d authored by Martin Schlather on 12 December 2010, 00:00:00 UTC
version 1.3.47
version 1.3.47
Tip revision: aa42f4e
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, including anisotropic
processes. Furthermore, algorithms for
conditional simulation and simulation of
max-stable random fields are provided.
Additionally, the package includes tools for analysing spatial data:
Hurst parameter, fractal dimension, empirical variogram,
interactive fitting of parameters, LSQ and MLE estimation of parameters.
Basic kriging procedures are also provided.
Further extensions of the package are planned.
}
\details{
The following random fields and related functionalities are
provided by the package.
\enumerate{
\item stationary and isotropic Gaussian random fields\cr
\itemize{
\item \command{\link{CondSimu}} : conditional simulation
\item \command{\link{CovarianceFct}} : covariance functions or
variogram models
\item \command{\link{EmpiricalVariogram}} : empirical variogram
\item \command{\link{GaussRF}} : simulation of Gaussian random
fields; nice examples to get familiar with the
simulation features of the package
\item \command{\link{Kriging}} : simple and ordinary kriging
\item \command{\link{fitvario}} : variogram/covariance function fit
by least squares, maximum likelihood and cross validation
techniques
\item \command{\link{PrintMethodList}} : list of implemented
simulation methods
\item \command{\link{ShowModels}} : interactive, graphical choice of
models
\item \command{\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 \command{\link{CovarianceFct}} : covariance models for
extremal Gaussian random fields
\item \command{\link{MaxStableRF}} : simulation of max-stable
random fields
}
\item stationary and isotropic Poisson random fields
(not implemented yet)\cr
% \itemize{
% \item \code{%\link{
% PoissonRF%}
% } : simulation of Poisson random fields
% }
}
Functions used in diverse simulation methods:
\itemize{
\item \command{\link{DeleteRegister}} : deleting internal registers
\item \command{\link{RFparameters}} : control parameters (advanced settings)
}
Functions of general purpose:
\itemize{
\item \command{\link{eval.parameters}} : provides an interactive menu
\item \command{\link{fractal.dim}} : estimation of the fractal dimension
\item \command{\link{hurst}} : estimation of the Hurst parameter
\item \command{\link{regression}} : interactive regression plot
\item \command{\link{Locator}}, \command{\link{Readline}} :
\command{\link[graphics]{locator}} and \command{\link[base]{readline}},
respectively, with storage and replay functionality
\item \command{\link{sleep.milli}} : sets the process into sleeping status
}
}
\note{
From version 1.3 on: Default value of
\code{RFparameters()$Storing} is \code{FALSE}.
}
\author{Martin Schlather, \email{martin.schlather@math.uni-goettingen.de}
\url{http://www.stochastik.math.uni-goettingen.de/institute};
}
\references{
This package is announced in and can be cited by:
Schlather, M. (2001) Simulation of stationary and isotropic random
fields. \emph{R-News} \bold{1} (2), 18-20.
Schlather, M. (2004)
Simulation of random fields and applications. \emph{In preparation.}
}
\section{Acknowledgement}{
Many thanks to Martin Maechler, Paulo Ribeiro, and Tilmann Gneiting
for proof-reading parts of the code and the help text for the versions
1.0 of this package.
Yindeng Jiang \email{jiangyindeng@gmail.com} implemented the
circulant embedding methods \sQuote{cutoff} and \sQuote{intrinsic}
in 2004 for the versions 1.2.
The coding of V1.0 has been financially 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 2000-03.
}
\keyword{spatial}