RandomFields          package:RandomFields          R Documentation

_S_i_m_u_l_a_t_i_o_n _a_n_d _A_n_a_l_y_s_i_s _o_f _R_a_n_d_o_m _F_i_e_l_d_s

_D_e_s_c_r_i_p_t_i_o_n:

     The package '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.

_D_e_t_a_i_l_s:

     The following random fields and related functionalities are
     provided by the package.

        1.  stationary and isotropic Gaussian random fields

           *  'CondSimu' : conditional simulation

           *  'CovarianceFct' :  covariance functions or variogram
              models

           *  'EmpiricalVariogram' : empirical variogram

           *  'GaussRF' : simulation of Gaussian random fields; nice
              examples to get familiar with the simulation features of
              the package

           *  'Kriging' : simple and ordinary kriging

           *  'mleRF' : maximum likelihood estimator and lsq for random
              field parameters

           *  'PrintMethodList' : list of implemented simulation
              methods

           *  'ShowModels' : interactive, graphical choice of models

           *  'soil' : Soil physical and chemical data; the 'example'
              gives a simple geostatistical analysis using features of
              the package      

        2.  stationary (and isotropic) max-stable random fields

           *  'CovarianceFct' : covariance models for extremal Gaussian
              random fields

           *  'MaxStableRF' : simulation of max-stable random fields


        3.  stationary and isotropic Poisson random fields (not
           implemented yet)

     Functions used in diverse simulation methods:

        *  'DeleteRegister' : deleting internal registers

        *  'RFparameters' : control parameters (advanced settings)

     Functions of general purpose:

        *  'eval.parameters' : provides an interactive menu 

        *  'fractal.dim' : estimation of the fractal dimension

        *  'hurst' : estimation of the Hurst parameter

        *  'regression' : interactive regression plot 

_A_c_k_n_o_w_l_e_d_g_e_m_e_n_t:

     Many thanks to Martin Maechler, Paulo Ribeiro, and Tilmann
     Gneiting for proof-reading parts of the code and the help text for
     V1.0 of this package. 

     The coding of V1.0 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 2000-03.

_A_u_t_h_o_r(_s):

     Martin Schlather, martin.schlather@cu.lu <URL:
     http://www.cu.lu/~schlathe>

_R_e_f_e_r_e_n_c_e_s:

     This package is announced in:

     Schlather, M. (2001) Simulation of stationary and isotropic random
     fields. _R-News_ *1* (2), 18-20.

     Schlather, M. (2004) Simulation of random fields and applications.
     _In preparation._

