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383Re: AI-GEOSTATS: Lognormal kriging and Back Transformation

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  • Isobel Clark
    Sep 19, 2001
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      As I already pointed out

      higher variance => higher lagrangian multiplier

      so that some of the efect is cancelled out anyway.

      We (Geostokos) use the following as a filter:

      ygiagam (proven resource): kriging variance should be
      less than original sample variance (total sill) less
      within block variance

      probable resource: kriging variance should be less
      than twice the above and at least 4 samples should be
      used in the estimation

      These are fairly arbitrary but have proved sound over
      the last 10-15 years.


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