Dear all

I am doing a process about generalized mixed model.
My data is count data per unit area. So I decided to use Poisson regression.
And my data also have xy coordinates and I tested the variogram using
residuals of Poisson regression.
It has spatial autocorrelation.

But the problem is the data has no zero value so it cannot satisfy the
assumption of Poisson regression.
So I searched the references for non-zero data.

finally I found out that truncated Poisson regression is useful for non-zero
Poisson data.
But the problem spatial autocorrelation.

I am successful with spatial GLMM with MASS library(glmmPQL function).
But how can I overcome non-zero problem.

Is there any idea for my data?

Thank you for interesting my article.



-- 
Keven, Kwak

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