R: Non-Separable Space-Time model

RMgennsst {RandomFields}

R Documentation

Non-Separable Space-Time model

RMgennsst is a univariate stationary spaceisotropic covariance model whose corresponding covariance is given by

C(h,u)= (ψ(u)+1)^{-δ/2} φ(h /√(ψ(u) +1))

RMgennsst(phi, psi, var, scale, Aniso, proj)

`phi`	is normal mixture `RMmodel`, cf. `RFgetModelNames(monotone="normal mixture")`
`psi`	is a variogram `RMmodel`.
`var,scale,Aniso,proj`	optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

This model is used for space-time modelling where the spatial component is isotropic.

RMgennsst returns an object of class RMmodel.

Schlather, M. (2010) On some covariance models based on normal scale mixtures. Bernoulli, 16, 780-797.


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

[Package RandomFields version 3.1.50 Index]