RandomFields (version 3.0.5)

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

Description

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

Implemented processes

ll{ 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 }

See Also

RC, RR, RM, RF

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

FinalizeExample()