R: Models for classes of random fields (RP commands)

RPprocess {RandomFields} | R Documentation

## Models for classes of random fields (RP commands)

### Description

Here, all the classes of random fields are described that can be simulated

### Implemented processes

Gaussian Random fields | see Gaussian
Max-stable Random Fields | see Maxstable
Other Random Fields | Binary field
| chi2 field
| composed Poisson (shot noise, random coin)
| t field

### Author(s)

Martin Schlather, schlather@math.uni-mannheim.de http://ms.math.uni-mannheim.de/de/publications/software

### See Also

RC, RR, RM, RF, R.

### Examples

    RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
    ##                   RFoptions(seed=NA) to make them all random again
    x <- seq(0, 10, 0.1)
    model <- RMexp()

    ## a Gaussian field with exponential covaraince function
    z <- RFsimulate(model, x)
    plot(z)

    ## a binary field obtained as a thresholded Gaussian field
    b <- RFsimulate(RPbernoulli(model), x)
    plot(b)

    sum( abs((z@data$variabl1 >=0 ) - b@data$variable1)) == 0 ## TRUE,
    ## i.e. RPbernoulli is indeed a thresholded Gaussian process

[Package RandomFields version 3.1.50 Index]