[R-sig-Geo] Autologistic regression in R

[Bede-Fazekas Ákos]

Hi Erin,

Although I'm not familiar with autologistic regression, the task you 
outlined seems to be a Species Distribution Modeling (SDM) problem for 
which several methods are available in R. So I'm not sure if you need 
only and exclusively autologistic regression. The SDM methods can solve 
the equation /pres = f(env1, env2, ...)/, where /pres /is 
presence/absence of the species and/envN/s are environmental predictors. 
See packages "/dismo/" and "/biomod2/", and also /vignette("sdm")/. Some 
of the methods need data.frame or SpatialPointsDataFrame, other ones 
need Raster* objects as input.

HTH,
Ákos Bede-Fazekas
Hungarian Academy of Sciences

2017.11.15. 7:04 keltezéssel, Elias T Krainski írta:
> Hi,
>
> Have you tried http://leg.ufpr.br/Rcitrus ?
>
> Elias
>
> On 15/11/17 04:46, 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
>>
>>
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>>
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