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Revision 68994912262e9c2ae98bff7968c23cd4cc8b9e8b authored by Martin Schlather on 24 August 2008, 00:00:00 UTC, committed by Gabor Csardi on 24 August 2008, 00:00:00 UTC
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\title{Simulation and Analysis of Random Fields}
  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.
  The following random fields and related functionalities are
  provided by the package.
    \item stationary and isotropic Gaussian random fields\cr
      \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
      \item \command{\link{PrintMethodList}} : list of implemented
      simulation methods
      \item \command{\link{ShowModels}} : interactive, graphical choice of
      \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
     \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:
    \item \command{\link{DeleteRegister}} : deleting internal registers
    \item \command{\link{RFparameters}} : control parameters (advanced settings)

  Functions of general purpose:
    \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
  From version 1.3 on: Default value of
  \code{RFparameters()$Storing} is \code{FALSE}.
\author{Martin Schlather, \email{martin.schlather@math.uni-goettingen.de}
  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.}
  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.

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