Hi Digby,
  Some consideration in the definition of 'population variance' might be
useful. The semi-variogram is (typically) attempting to model the underlying
process generating the regionalized variable, so the sill should be thought
of as the 'variance of the _process_' rather than the 'variance of the
regionalized variable within the survey extent'. 

If you were interested in the 'population variance of the survey extent',
then this would be better approximated by estimating the double integral of
the semi-variogram model. (Estimating that doesn't require a sill within the
model .. just computer grunt :-)

Mat



> Hello,
>
>  I was wondering about some variogram models not having a
> sill.
> Does this mean that semi-variogram values can be greater
> than
> the population variance, in which case you would have
> negative
> covariances, or is the population variance the maximum these
> models, e.g. linear model, may reach.
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