RPprocess

0th

Percentile

Models for classes of random fields (RP commands)

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

Keywords
spatial
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.

Aliases
  • RP
  • RPmodel
  • RPmodels
  • RPprocess
  • RPprocesses
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


Documentation reproduced from package RandomFields, version 3.1.36, License: GPL (>= 3)

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