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

Description Implemented processes See Also Examples

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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
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 Feb. 6, 2020, 5:13 p.m.