Re: AI-GEOSTATS: Re: Urgent help needed: Power-law Semi-variogram Range
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.
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