## 2131Re: [ai-geostats] Irf-k theory...

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• Jul 2, 2005
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Well, Simone in my Ph.D thesis (available online, see geostatistics in other
language on ai-geostats web site)I tried to explain it in a simple way...
Bye
S. Trevisani
Scrive Simone Sammartino <marenostrum@...>:

> Dear all
> I can't understand the link between the two approach explaining the
> Irf-k theory...
> 1st approach:
> The Irf-k approach is based on a generalization of the intrinsic model,
> in which the coefficients of the combination of the variables in the X
> points are such that the combination of monomials of the variables
> (computed with such coefficients) is zero mean and second order
> stationary. In the intrinsic model the coefficients are 1 and -1 and the
> linear combination of the variables with such coefficients (the
> increment) is second order stationary. Now...how to insert the
> generalized covariance in this speech?...
> 2nd approach:

> The non stationary random function is seen as the sum of a trend and a
> residual (as in UK?!)...such trend is the linear combination of
> monomials of the variables (as in UK?!) with the said coefficients. And
> the generalized covariance?
> Reassuming...I did not understand the Irf-K theory...

> Someone can explain it to me? or suggest some clear refer?
> Thank you
> Simone
>
>
> -----------------------------
> Dr. Simone Sammartino
> PhD student
> - Geostatistical analyst
> - G.I.S. mapping
> I.A.M.C. - C.N.R.
> Geomare-Sud section
> Port of Naples - Naples
> marenostrum@...
> -----------------------------
>
>
>
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