R: Iaco-Cesare model

RMiaco {RandomFields} | R Documentation

## Iaco-Cesare model

### Description

The space-time covariance function is

C(r,t) = (1.0 + r^ν + t^λ)^δ

### Usage

    RMiaco(nu, lambda, delta, var, scale, Aniso, proj)

### Arguments

`nu,lambda` | number in (0,2]
`delta` | positive number
`var,scale,Aniso,proj` | optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

### Value

`RMiaco` returns an object of class `RMmodel`

### Author(s)

Martin Schlather, schlather@math.uni-mannheim.de

### References

- de Cesare, L., Myers, D.E., and Posa, D. (2002) FORPRAN programs for space-time modeling. Computers \& Geosciences 28, 205-212.

- de Iaco, S.. Myers, D.E., and Posa, D. (2002) Nonseparable space-time covariance models: some parameteric families. Math. Geol. 34, 23-42.

### See Also

`RMmodel`,

### Examples

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

    model <- RMiaco(nu=1, lambda=1.5, delta=0.5)
    plot(model, dim=2)

    x <- seq(0, 10, 0.1)
    plot(RFsimulate(model, x=x, y=x))

[Package RandomFields version 3.1.50 Index]