RandomFields (version 3.0.5)

RMgennsst: Non-Separable Space-Time model

Description

RMgennsst is a univariate stationary spaceisotropic covariance model whose corresponding covariance is given by $$C(h,u)= (\psi(u)+1)^{-\delta/2} \phi(h /\sqrt(\psi(u) +1))$$

Usage

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

Arguments

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.

Value

• RMgennsst returns an object of class RMmodel.

Details

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

References

% \item Zastavnyi, V. and Porcu, E. (2011) % Caracterization theorems for the Gneiting class space-time % covariances. % \emph{Bernoulli}, \bold{??}.
• Schlather, M. (2010) On some covariance models based on normal scale mixtures.Bernoulli,16, 780-797.

See Also

RMnsst, RMmodel, RFsimulate, RFfit.

Examples

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


FinalizeExample()