RMmult: Multiplication of Random Field Models

Description

RMmult is a multivariate covariance model which depends on up to 10 submodels $C_0, C_1, ..., C_10$. In general, realizations of the created RMmodel are pointwise product of independent realizations of the submodels. In particular, if all submodels are given through a covariance function, the resulting model is defined through its covariance function, which is the product of the submodels' covariances.

Usage

RMmult(C0, C1, C2, C3, C4, C5, C6, C7, C8, C9, var, scale, Aniso, proj)

Arguments

an RMmodel.

C1,C2,C3,C4,C5,C6,C7,C8,C9

optional; each an RMmodel.

var,scale,Aniso,proj

optional parameters; same meaning for any RMmodel. If not passed, the above model remains unmodified.

Value

RMmult returns an object of class RMmodel

Details

The global parameters scale,Aniso,proj of RMmult are multiplied to the corresponding parameters of the submodels (from the right side). In case that all submodels are given through a covariance function, the global parameter var of RMmult is multiplied to the product covariance of RMmult.

Examples

Run this code

RFoptions(seed=0)

# separable, multiplicative model
model <- RMmult(RMgauss(proj=1), RMexp(proj=2, scale=5))
z <- RFsimulate(model=model, 0:10, 0:10, grid=TRUE, n=4)
plot(z)

RFoptions(seed=NA)

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