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

In RandomFields: Simulation and Analysis of Random Fields

Description

Here, all 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

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 covariance 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

RandomFields documentation built on Jan. 19, 2022, 1:06 a.m.