[R-sig-Geo] Autologistic regression in R

[Marcelino de la Cruz Rot]

Hi Mingke Li,

Dorman et al. (2007) review different methods to account for spatial 
dependence in linear models, including the use of autocovariables, and 
provide R code for them.

HTH,

Marcelino

Dormann, et al. 2007. Methods to account for spatial autocorrelation in 
the analysis of species distributional data: a review. – Ecography 30: 
609–628.

http://www.ecography.org/appendix/e5171



El 15/11/2017 a las 2:46, Mingke Li escribió:
> 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
>
>
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>
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-- 
Marcelino de la Cruz Rot
Depto. de Biología y Geología
Física y Química Inorgánica
Universidad Rey Juan Carlos
Móstoles España