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spatial markov chain methods

3 messages · Torsten Lange, Rolf Turner

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Hello,

can any one point me to R-packages (if available) which include spatial 
Markov Chain methods?
My second question is more general but hopefully not OT: Currently we 
are using the software TPROGS, which let people simulate property 
distributions in space by some Markov Chain approaches. We face some 
problems due to the lack of information between distances of samples 
along borehole path and among boreholes. Is there any way to "trick" it 
like for instants in variogram modeling were one might use nested 
variograms...?

Thank you, Torsten
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On 4/03/2009, at 4:36 AM, Torsten Lange wrote:

            
The spatstat package has facilities for simulating (non-Poisson) spatial
point processes vi MCMC (Metropolis-Hastings) methods.  But it's  
probably
not point patterns that you're after.

	cheers,

		Rolf Turner

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Rolf Turner schrieb:
Thanks Rolf! To be more specific I'm a novice to MC method. However, I 
don't look on point processes but on spatial auto-correlation of certain 
types of soils or sediments in 3D - parameterization for geoscientific 
applications like hydrogeology... We created the MC transiograms for 
soil classes in vertical and horizontal directions. Problems arise due 
to the observation gap between sampling density in vertical (very high 
along borehole) and horizontal direction (much lower because of 
distances among boreholes).

Thank you for any hints,
Torsten