Well, it is for modelling spatial binary data with spatial
covariables( continuous or discrete)
try incorporate spatial neighboorhod in the model.
Solution of Rubén is interesting, ok Many thanks..
liov
2008/10/8 Dylan Beaudette <[EMAIL PROTECTED]>:
> On Wednesday 08 October 2008, ivan valencia wrote:
>> But I do not mean to do spatial interpolation, I need to adjust
>> logistic spatial model to area data..
>>
>> liov
>
> Can you elaborate with an example? Are you suggesting weighting a logistic
> regression with area values associated with observations?
>
> Cheers,
>
> Dylan
>
>
>> 2008/10/8 Rubén Roa-Ureta <[EMAIL PROTECTED]>:
>> > ivan valencia wrote:
>> >> Hello
>> >>
>> >> I need some guide about spatial logistic regression, Is it available a
>> >> code in R?
>> >>
>> >> {}
>> >>
>> >> LIOV
>> >
>> > You can try the functions in package geoRglm.
>> > You can set binomial counts with spatial coordinates and fit a
>> > geostatistical logistic model in geoRglm.
>> > HTH
>> > R.
>
>
>
> --
> Dylan Beaudette
> Soil Resource Laboratory
> http://casoilresource.lawr.ucdavis.edu/
> University of California at Davis
> 530.754.7341
>
--
Luis Iván Ortiz Valencia
Estatístico Msc.
...............................................
http://oplanetaliov.blogspot.com/
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