Dear Ali, Regarding choosing the optimum kriging neighborhood, an article related to this is:
J. Rivoirard, "Two key parameters when choosing the kriging neighborhood", Mathematical Geology, Vol.19 (8), 1987, p. 851-856. In this article mentioned that in the stationary case, two parameters are especially interesting when choosing the kriging neighborhood: (1) weight of the mean, which shows how kriging depends on the neighborhood, and (2) slope of the regression, which indicates if the neighborhood is large enough. By the way, in case you have a pure nugget effect in your semi-variogram model, you better use all data when performing kriging estimation. Hope this helps. Regards, Nur Heriawan ------------ Department of Mining Engineering Institut Teknologi Bandung (ITB) Jl. Ganesha 10 Bandung 40132, Indonesia http://www.isme-ix.org/ --- Alí Santacruz <[EMAIL PROTECTED]> wrote: > Dear list members, > > I have a very simple question (I think): > > When I want to perform a kriging, I must define the > number of nearest > observations that should be used for the kriging > prediction, or a maximum > distance from the prediction location. > > What criteria should I use to set these parameters? > Which is the optimum > number of nearest neighbors? __________________________________________________ Do You Yahoo!? Tired of spam? Yahoo! Mail has the best spam protection around http://mail.yahoo.com + + To post a message to the list, send it to [email protected] + To unsubscribe, send email to majordomo@ jrc.it with no subject and "unsubscribe ai-geostats" in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list users, please remember to post a summary of any useful responses to your questions. + Support to the forum can be found at http://www.ai-geostats.org/
