RandomFields {RandomFields}R Documentation

Simulation and Analysis of Random Fields

Description

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.

Starting with version 2.0, it also allows for the simulation of random fields that are non-stationary or multivariate or sophisticated space-time fields. fitvario allows for multivariate models and mixed effect models.

There are some changings in the definitions and in the output, see help("changings")

Details

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

  1. stationary and isotropic Gaussian random fields

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

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

Data and example code:

Functions used in diverse simulation methods:

Functions of general purpose:

In the beta version, the following functionalities are currently not available:

Acknowledgement

Many thanks to

Financial support

Author(s)

Martin Schlather, martin.schlather@math.uni-goettingen.de http://www.stochastik.math.uni-goettingen.de/~schlather;

References

This package is announced in and can be cited by:

Schlather, M. (2001) Simulation of stationary and isotropic random fields. R-News 1 (2), 18-20.


[Package RandomFields version 2.0.54 Index]