Currently, I am working on a count data set measuring events in a third-order administrative unit. The frequency of events varies for each third-order administrative unit to account for the variability, I am using a negative binomial regression model.
A crude graphical analysis of the residual of the regression indicates that no spatial autocorrelation exists. I would like to find a method to assess spatial autocorrelation in a negative binomial regression model, since a regular test of spatial autocorrelation are not feasible (ex. Global Moran's I).
Do you have any suggestions?