Re: AI-GEOSTATS: non-ergodic covariance
- on 16/03/01 2:24, Sara Kustron at skustron@... wrote:
> It appears that this technique is computationally inaccessible to usIt will be foolhardy to be a geostatistical "purist" in this day
> non-programmers at this point in time. Could it be argued that though
> theoretically questionable non-ergodic covariance has some practical value
> in that it successfully cleans up variograms? I apologize if this offends
and age. :) Note that one would most likely assume local stationarity within
a search neigborhood in performing OK estimations, i.e. early lag
behavior only. I would (dangerously) suggest that in this early lag
period, choice of a variogram such as power law, spherical, exponential,
or Gaussian would be nit picking. Unless the variogram clearly shows
such definitive behavior, of course.
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