[R-sig-Geo] regression kriging with non-euclidean distances

[Don MacQueen]

Facundo,

I am interested in essentially the same thing, 
though my application is inside buildings. I am 
wondering what technique(s), software, etc. you 
would be using to calculate your distances.

I asked about this about a month ago, here on 
r-sig-geo, and received some helpful replies. The 
subject line at that time was
    [R-sig-Geo] Shortest path around obstacles (OT)

-Don

At 7:05 PM +0100 3/20/08, Facundo Muñoz wrote:
>Hello All,
>
>I'm performing  regression kriging (using both gstat and geoR)  in an
>urban environment. Thus, i have discontinuities (buildings) in the
>prediction space which make distances to be non-euclidean.
>
>I need to estimate variogram and make predictions using distances
>calculated by myself and passed to the algorithms (say, in a distance
>matrix), instead of letting them calculate distances based on coordinates.
>
>¿Has anyone faced this issue before?
>
>Thanks in advance,
>     Facundo Muñoz
>
>--
>Departament d'Estadística i Investigació Operativa Universitat de
>València (Estudi General)
>Facultat de Matemàtiques, Dr. Moliner 50, 46100 Burjassot, Spain.
>(+34) 96 354 3987, fax: (+34) 96 354 3238
>e-mail: Facundo.Munoz at uv.es, web: http://www.uv.es/~famarmu/
>
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-- 
--------------------------------------
Don MacQueen
Environmental Protection Department
Lawrence Livermore National Laboratory
Livermore, CA, USA
925-423-1062