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Re: AI-GEOSTATS: variogram model of n-scores in SGS

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  • Pierre Goovaerts
    Hi Carlo, Note that a sill strongly different from 1 would mean that the assumption of 2nd order stationarity underlying SGS is not met. I wouldn t force the
    Message 1 of 2 , Jul 8, 2002
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      Hi Carlo,

      Note that a sill strongly different from 1 would
      mean that the assumption of 2nd order stationarity
      underlying SGS is not met.

      I wouldn't force the sill to be one when
      fitting the model and you have to use a unit sill
      model in the simulation program for consistency.
      If the deviation is not larger than say 0.1,
      I would fit the model to the
      experimental values and then rescale the
      fitted sills so that they sum to 1 for use
      in the simulation program.

      Pierre

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      On Mon, 8 Jul 2002, Carlo Cardellini wrote:

      > Hello,
      > I have a question about the variogram model of normal scores to use as
      > input in the sequential gaussian simulation: the sill must be 1? and if
      > this is necessary, if the experimenal variogram of the normal scores
      > presents an higher sill what is better to do?.... use model with sill 1 or
      > use the "true" model?
      > Thank you in advance to everyone.
      > Sincerelly,
      > Carlo
      >
      >
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