Re: AI-GEOSTATS: Kriging universal
> > The variogram we most to use is these create withYes. Theoretically you should use the residuals
> the residuals (mainly spline residuals)?
calculated by first stage universal kriging. However,
there are many published case where authors have found
virtually any method of trend removal to be adequate:
median polish, spline, polynomial trends and so on.
> > My preoccupation is relate with the magnitude ofYes.
> the estimation variance,
> > it is underestimate if I use residual variogram?
> > In these case is possible reconvert the residualNot really. If you use polynomial trend surface
> variogram to wall
> > variogram by addition of the effect of drift
> previously calculate?
analysis, you can build an Analysis of Variance Table
to find the 'true' residual variance to inflate the
model. I prefer to use a cross validation approach, to
see how much inflation is needed and then check that
it has been removed.
> > The case is that variogram create whitI am not sure what you mean by "inconsistent". It is
> untransformed data is inconsistent
> > by the presence of the inner drift.
certainly mathematically unstable.
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