I have a question relating to this question, certainly not to question the
previous writer, it just seems like a good time to bring it up. Will
variograming and other such techniques work for the data the previous writer
described, e.g samples aren't at points, but areas (and areas that might
have very little to do with the question). If they did use points in the
calculations where would the points be placed, at the center of the county,
at the major population center, at some arbitrary point (e.g most northerly
point).
I may be miss reading the description, perhaps the sample are point samples,
but were taken with one sample in each county.
Obviously the point samples are never really point sample, they must be
taken over some area, approximating a point, but does this design seem to
push the boundaries on that assumption.
Andrew
----- Original Message -----
From: "Yadollah Waghei" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Cc: <[EMAIL PROTECTED]>;
<[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>;
<[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>
Sent: Tuesday, May 15, 2001 7:33 AM
Subject: AI-GEOSTATS: Choosing Lag Distance and Angular Tolerance
> Hello dears
> I have a spatial data set contaning n=262 observarion (The variable of
interest is Rate of Tuberculosis in 262 counties of Iran). I want to fit
some models to Directional semi-variograms,and then build anisotropic
semi-variogram.
> Then questions are
> - Is there any rule for choosing Lag Distance and Angular Tolerance?
> -Also,how we can balance between Lag Distance and Angular Tolerance?
> -Do you agree that both must be very small,as possible?(Such that number
of pairs in each lag>20, for example)
>
> Thank you
> Yadollah Waghei
> Dep.of Biostatistics
> Tarbiat Modarres Univ.(Tehran)Po.Box: 14115-111
> Tel:8011001-3872 Fax:8007989
>
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