Joseph, not all spatial processes have correlation lengths; some processes show an increase in variance whenever you increase the domain. Think of (1D case)Message 1 of 2 , Feb 12, 2004View SourceJoseph,
not all spatial processes have correlation lengths; some
processes show an increase in variance whenever you
increase the domain. Think of (1D case) Brownian
motion. Power law variograms result from processes
that have no correlation length; IIRC, Brownian
motion has a linear variogram (power=1) with no sill.
Joseph Oyeyele wrote:
>Thank you for your reply,--
>By the transect method, I mean by taking a straight line through the field of observation. The transect method computes the variogram along this line only, since it is an isotropic process generated from a functional form.
>Is there a reliable method for determining the range(correlation length).
>I wrote a function in Matlab to determine and plot the variogram. I cross-checked by running the generated data through GSTAT --- it also results in a power law variogram.
>Please advise on the best approach to determine the correlation length in this case.
* To post a message to the list, send it to ai-geostats@...
* As a general service to the users, please remember to post a summary of any useful responses to your questions.
* To unsubscribe, send an email to majordomo@... with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list
* Support to the list is provided at http://www.ai-geostats.org