Hyperplane method
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.
RPhyperplane(phi, boxcox, superpos, maxlines, mar_distr, mar_param ,additive)
phi |
object of class |
boxcox |
the one or two parameters of the box cox transformation.
If not given, the globally defined parameters are used.
See |
superpos |
integer. number of superposed hyperplane tessellations.
Default: |
maxlines |
integer. Maximum number of allowed lines. Default: |
mar_distr |
integer. code for the marginal distribution used in the simulation:
This argument should not be changed yet. Default: |
mar_param |
Argument used for the marginal distribution. The argument should not be changed yet. Default: |
additive |
logical.
If Default: |
RPhyperplane
returns an object of class
RMmodel
.
Martin Schlather, schlather@math.uni-mannheim.de, https://www.wim.uni-mannheim.de/schlather/
Lantuejoul, C. (2002) Geostatistical Simulation: Models and Algorithms. Springer.
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set ## RFoptions(seed=NA) to make them all random again model <- RPhyperplane(RMexp(s=2), superpos=1) x <- seq(0, 3, 0.04) z <- RFsimulate(x=x, x, model=model, n=1) plot(z)
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