[52N Geostatistics] unconditional space-time simulation

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[52N Geostatistics] unconditional space-time simulation

Schleiss Marc
Hello,

Does somebody know how to use krigeST() or predict() in combination with the "spacetime" package to generate unconditional Gaussian (or indicator) simulations on a space-time grid ?

Thanks for your help.
Marc Schleiss

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Re: [52N Geostatistics] unconditional space-time simulation

Edzer Pebesma
Administrator
Dear Marc,

krigeST exploits the separability of S/T covariances to make kriging
more efficient, but does not provide simulation - it would be an option,
and is maybe possible for Gaussian simulation (as you're solving the
problem globally) for data sets of limited size.

For indicator kriging, afaics the algorithm needs to be sequential,
which is not implemented.

predict() in gstat allows for 3D model, meaning for S/T data you can use
x/y/t coordinates with the metric model; it uses the sequential
algorithm, so can do Gaussian as well as indicator simulation. It is
advisable to rescale the t dimension such that correlation range in x/y
is simular to that in t direction.

Hth,

On 02/01/2011 04:51 PM, Schleiss Marc wrote:

> Hello,
>
> Does somebody know how to use krigeST() or predict() in combination with the "spacetime" package to generate unconditional Gaussian (or indicator) simulations on a space-time grid ?
>
> Thanks for your help.
> Marc Schleiss
>
>
>
>
> _______________________________________________
> Geostatistics mailing list
> [hidden email]
> http://list.52north.org/mailman/listinfo/geostatistics
> http://geostatistics.forum.52north.org

--
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of Münster
Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
8333081, Fax: +49 251 8339763  http://ifgi.uni-muenster.de
http://www.52north.org/geostatistics      [hidden email]
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