RandomFields (version 3.1.16)

RPgauss: Simulation of Gaussian Random Fields

Description

This function is used to specify a Gaussian random field that is to be simulated or estimated. Returns an object of class RMmodel.

Usage

RPgauss(phi, boxcox, stationary_only)

Arguments

phi

the RMmodel.

boxcox

the one or two parameters of the box cox transformation. If not given, the globally defined parameters are used. see RFboxcox for Details.

stationary_only

Logical or NA. Used for the automatic choice of methods.

• TRUE: the simulation of non-stationary random fields is refused. In particular, the intrinsic embedding method is excluded and the simulation of Brownian motion is rejected.
• FALSE: intrinsic embedding is always allowed, actually it's the first one considered in the automatic selection algorithm.
• NA: the simulation of the Brownian motion allowed, but intrinsic embedding is not used for translation invariant (“stationary”) covariance models.

Default: NA

Value

The function returns an object of class RMmodel.

See Also

RP, Gaussian, RMmodel, RFoptions, RPbrownresnick, RPchi2, RPopitz. RPt, RPschlather.

Do not mix up with RMgauss or RRgauss.

Examples

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

model <- RMexp()
x <- seq(0, 10, 0.02)
plot(model)
plot(RFsimulate(model, x=x, seed=0))
plot(RFsimulate(RPgauss(model), x=x, seed=0), col=2) ## the same