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grammar/fluency
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chl
chl
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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 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?

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 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?

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?

grammar/fluency
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edit approved Oct 18, 2012 at 15:07
Ari B. Friedman
edit approved Oct 18, 2012 at 15:07
Ari B. Friedman
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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 graphicallygraphical analysis of the residual of the regression indicates that there is no spatial autocorrelation exists. The goalI would belike to 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 suggestionsuggestions?

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 graphically analysis of the residual of the regression indicates that there is no spatial autocorrelation exists. The goal would be 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 suggestion?

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 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?

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user1738753
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Testing for Spatial Autocorrelation in a Negative Binomial Regression Model

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 graphically analysis of the residual of the regression indicates that there is no spatial autocorrelation exists. The goal would be 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 suggestion?