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RandomFields (version 3.1.16)

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

Description

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

Arguments

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

See Also

RC, RR, RM, RF, R.

Examples

Run this code
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


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