Hi Ramesh,
You haven't given us a lot to go on. I assume you mean auto-logistic
regression. There have been several threads on this in the last few months
so check the AI-geostats archives.
I am not sure what you mean by iteration, what is being iterated? It might
also help if you told us a little more about your sampling design and the
nature of the data.
Nicholas
On Wed, 8 Aug 2001, [iso-8859-1] Ramesh Krishnamurthy wrote:
> dear all,
> i have developed a logistic regression model to
> predict the spatial distribution of three Himalayan
> pheasants (that i have studied) viz. western tragopan,
> himalayan monal and koklass. i now want to improve the
> model by including the effect of spatial
> autocorrelation found in the predicted probability. i
> am trying calculate the autocovariate based on the
> method suggested by Augustine et.al. published in
> J.Applied Ecology. i am not clear about how does
> iteration help in calculating the autocovariate and
> how to decide on the optimum iteration required for
> the data set. i would greatly appreciate if any one on
> the list would educate me or suggest me the study
> material on the subject.
>
> regards
>
> ramesh
>
>
> =====
>
>
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