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Re: AI-GEOSTATS: Normal scores variograms - back transformation

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  • Pierre Goovaerts
    Hi Joe, To be consistent, the kriging with normal score semivariogram must be performed on the normal score data, and it is the normal score kriged estimates
    Message 1 of 2 , May 12, 2003
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      Hi Joe,

      To be consistent, the kriging with normal score semivariogram
      must be performed on the normal score data, and it is the
      normal score kriged estimates that need to be back transformed.
      See the paper: Saito, H. and P. Goovaerts. 2000.
      Geostatistical interpolation of positively skewed and censored data
      in a dioxin contaminated site.
      Environmental Science & Technology, vol.34, No.19: 4228-4235,
      which can be downloaded from my webpage, for more details.

      Regards,

      Pierre Goovaerts
      <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>

      Dr. Pierre Goovaerts
      President of PGeostat, LLC
      Chief Scientist with Biomedware Inc.
      710 Ridgemont Lane
      Ann Arbor, Michigan, 48103-1535, U.S.A.

      E-mail: goovaert@...
      Phone: (734) 668-9900
      Fax: (734) 668-7788
      http://alumni.engin.umich.edu/~goovaert/

      <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>

      On Mon, 12 May 2003, Joe Geo wrote:

      > Dear ai-geostats
      >
      > I have question regarding normal scores variograms
      >
      > By converting my data to normal scores using GSLIB - NSCORES I can get quite
      > nice variograms for interpretation.
      >
      > However, how can I transform the interpreted models (nugget range sill)
      > back so I can use them to krige the unstransformed data ?
      >
      > Thanks in adavance
      >
      > Joe
      >
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