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Re: AI-GEOSTATS: Dealing with Universal Kriging

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  • Isobel Clark
    Rubens Your approach has been long used in hydrology and similar fields with much success. The problem with the standard deviation is that it does not include
    Message 1 of 3 , Apr 9, 2002
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      Rubens

      Your approach has been long used in hydrology and
      similar fields with much success.

      The problem with the standard deviation is that it
      does not include the the 'error' on the estimation of
      the true drift. To get a composite error you would
      either have to

      (a) add your kriging variance to some sort of
      classical regression variance to get a composite one;

      (b) use a Universal Kriging (or generalised
      covariance) approach to estimate the surface with the
      drift included.

      In our experience, your estimated surface will not
      change but your kriging variances will increase
      slightly.

      Isobel Clark

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    • Isobel Clark
      Alessandro Thanks for the contribution. If Universal Kriging is applied, there is no need for simulation or multi-indicator approaches to get a standard error,
      Message 2 of 3 , Apr 10, 2002
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        Alessandro

        Thanks for the contribution.

        If Universal Kriging is applied, there is no need for
        simulation or multi-indicator approaches to get a
        standard error, it comes with the solution.

        Isobel

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