Random coin method
The random coin method (or dilution method) is a simulation method for stationary Gaussian random fields. It is based on the following procedure: For a stationary Poisson point process on R^d consider the random field
Y(y) = ∑_{x\in X} f(y-x)
for a function f. The covariance of Y is proportional to the convolution
C(h) = \int f(x)f(x+h) dx
If the intensity of the Poisson point process increases, the random field Y approaches a Gaussian random field with covariance function C.
RPcoins(phi, shape, boxcox, intensity, method) RPaverage(phi, shape, boxcox, intensity, method)
phi |
object of class |
shape |
object of class |
boxcox |
the one or two parameters of the box cox transformation.
If not given, the globally defined parameters are used.
See |
intensity |
positive number, intensity of the underlying Poisson point process. |
method |
integer.
Default is the value |
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
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