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

[Facundo Muñoz]

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/