RandomFields (version 3.0.10)

Hyperplane: Hyperplane method

Description

The Hyperplane method is a simulation method for stationary, isotropic random fields with exponential covariance function. It is based on a tessellation of the space by hyperplanes. Each cell takes a spatially constant value of an i.i.d. random variable. The superposition of several such random fields yields approximatively a Gaussian random field.

Usage

RPhyperplane(phi, loggauss, superpos, maxlines, mar_distr, mar_param)

Arguments

phi

object of class RMmodel; specifies the covariance function to be simulated; only exponential covariance functions and scale mixtures of it are allowed.

loggauss

see RPgauss.

superpos

integer. number of superposed hyperplane tessellations. Default: 300.

maxlines

integer. Maximum number of allowed lines. Default: 1000.

mar_distr

integer. code for the marginal distribution used in the simulation: [object Object],[object Object],[object Object] This parameter should not be changed yet. Default: 0.

mar_param

Parameter used for the marginal distribution. The parameter should not be changed yet. Default: NA.

Value

• RPhyperplane returns an object of class RMmodel

References

• Lantuejoul, C. (2002)Geostatistical Simulation: Models and Algorithms.Springer.

See Also

RP, RPcoins, RPspectral, RPtbm.

Examples

RFoptions(seed=0)
\dontrun{
model <- RPhyperplane(RMexp(s=2), superpos=1)
x <- seq(0, 3, if (interactive()) 0.04 else 1)
z <- RFsimulate(x=x, x, grid=TRUE, model=model, n=1)
plot(z)
}
RFoptions(seed=NA)