Dear list,

I'm trying to model the distribution of records that I have collected in my study area affected by parameters as population density and access. I have non normal distribution of the data,  lots of zeros and an important level of spatial autocorrelation. So, I wonder if there is a way in R to handle at the same time the 3 problems, because so far, I've tried the zero inflation poisson regression but it doesn't take into account the spatial autocorrelation, and gls, but it doesn't solve my problem of the zeros and nonnormal distribution.

I would appreciate any hint,

Liliana.



      
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