[R-sig-Geo] Autologistic regression in R

[Ege Rubak]

Hi Erin,

It is not quite clear to me what your data is. From your text I 
understand that you have a number of locations where you have measured 
the population of a specific insect (count variable?) together with 
independent/explanatory variables at these same locations. Is the 
"population" sometimes zero? Is it even restricted to be binary (0/1), 
which I guess would be required for logistic regression to make sense?

Cheers,
Ege

On 11/15/2017 02:46 AM, Mingke Li wrote:
> Hi,
> 
> I am new to autologistic regression and R. I do have questions when starting a project in which I believe autologistic regression (spdep package) is needed.
> 
> I have a point layer whose attribute table stores the values of the dependent variable (population of a kind of insect), all the independent variables (environmental factors), and the associated latitude and longitude. I hope to to fit an autologistic model to analyze which factors or combinations of factors have effects on the presence/absence of the insect (1 or 0).
> 
> I found other papers which applied autologistic regression in their study almost used a grid system and defined their window sizes. So, my question is do I have to convert my point layer into a grid system if I want to do this analysis with R?
> 
> Also, what should I consider when I generate the grid system? How to determine a proper cell size? How about the searching window (neighbourhood) size?
> 
> Many Thanks.
> 
> Erin
> 
> 
> 	[[alternative HTML version deleted]]
> 
> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo at r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>