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.
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.
CondSimu: conditional simulationCovarianceFct: covariance functions or
variogram modelsEmpiricalVariogram: empirical variogramGaussRF: simulation of Gaussian random
fields; nice examples to get familiar with the
simulation features of the packageKriging: simple and ordinary krigingmleRF: maximum likelihood estimator for
random field parametersRFparameters: control parameters (advanced settings)PrintMethodList: list of implemented
simulation methodsShowModels: interactive, graphical choice of
modelssoil: Soil physical and chemical data;
theexamplegives a simple geostatistical analysis using
features of the packageCovarianceFct: covariance models for
extremal Gaussian random fieldsMaxStableRF: simulation of max-stable
random fieldsRFparameters: control parameters (advanced)Functions used for diverse simulation methods:
DeleteRegister: deleting internal registers