Hi
Thank you, for replying, but as you know the theorical
relation between variogram and correlogram
r(h) = (C0-gamma(h))/C0 does not holds for estimates!
I compute correlogrm with
r^(h) = (C0^-gamma^(h))/C0^
(^ = estimate notation)
but in some lags r^(h) was grater than 1 !!
Sincelely: webster
=======================================
--- "Edzer J. Pebesma" <[EMAIL PROTECTED]> wrote:
> jack webster wrote:
>
> >hello,
> >I need a good estimator for the Correlogram, under
> 2nd
> >stationary condition, and a SPLUS program for
> >computing it (if there is).
> >Sincerely: Webster
> >
> >
> >
> Jack, you can use the S-Plus function acf() to
> compute
> autocorrelations from one-dimensional data. As
> you're
> on this list, you probably want it for 2-D or 3-D.
> For those
> data you can compute variograms.
>
> In S-Plus, library gstat (free; www.gstat.org) or
> the S-Plus
> SpatialStats module (commercial) are available for
> computing sample variograms and modelling variogram
> functions.
>
> The correlogram can be computed from a variogram by
>
> r(h) = (C0-gamma(h))/C0
>
> with C0 the sill of the variogram and gamma(h) the
> semivariance (model) value.
> --
> Edzer
>
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