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]