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.  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.

     Diverse extensions of the package are planned.

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

     The following random fields and related functionallities 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 for random field
              parameters

           *  `RFparameters' : control parameters (advanced settings)

           *  `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

           *  `RFparameters' : control parameters (advanced)     


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

     Functions used for diverse simulation methods:

        *  `DeleteRegister' : deleting internal registers

_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 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.

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

     Martin Schlather, Martin.Schlather@uni-bayreuth.de <URL:
     http://www.geo.uni-bayreuth.de/~martin>

