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List: r-sig-geo
Subject: Re: [R-sig-Geo] Handling realisations in geoRglm
From: Chris Barker <cmbarker () ucdavis ! edu>
Date: 2006-08-31 16:22:34
Message-ID: 44F70CCA.7090207 () ucdavis ! edu
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Dear Dr. Ribeiro and Dr. Christensen,
Thanks very much to both of you for your replies. Your answers are a
big help, even if the answer is no. I'll continue my search for a
package to analyze my data, and if realisations are ever accommodated in
geoRglm, I'd love to revisit this.
Thanks again,
Chris
Paulo Justiniano Ribeiro Jr wrote:
> Chris
>
> I'm afraid with the current implementation the answers are no and no ...
> geoRglm cannot handle realisations as geoR does (e.g. considering
> different years as independent replications of the process).
>
> Furthermore neither geoR nor geoRglm can fit spatial-temporal models
> (with both, space and time dependence)
> RandomFields can do this but, to my knowledge, only for Gaussian data
>
> best
> P.J.
>
>
> On Wed, 30 Aug 2006, Chris Barker wrote:
>
>
>> Dear R users:
>>
>> I want to model mosquito count data based on landcover attributes and
>> meteorological variables using a Poisson GLSM in the geoRglm package. I
>> have monthly mosquito counts over more than 20 years with repeated
>> observations from individual trap sites over time. I have used
>> as.geodata() to successfully read my dataset into the geodata format
>> utilized by geoR and geoRglm, including specification of the
>> realisations. (I know the realisations have been specified correctly
>> because I can get data summaries by realisation from the geodata
>> object.) However, after reading the packages' documentation and
>> searching the mailing lists and other sources, it seems that the
>> functions in geoRglm do not acknowledge the existence of multiple
>> realisations per site. I see that the likfit() function in geoR has an
>> argument for realisations, but I cannot find anything similar in
>> geoRglm. Is it possible to model data with repeated realisations from
>> the same sites using geoRglm? If so, how can this be done and is there
>> a way to model dependence among the realisations over time?
>>
>> Thank you,
>> Chris Barker
>> Ph.D. Candidate
>> University of California, Davis
>> cmbarker@ucdavis.edu
>>
>> _______________________________________________
>> R-sig-Geo mailing list
>> R-sig-Geo@stat.math.ethz.ch
>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>>
>>
>
>
--
Chris Barker
Ph.D. Candidate
Department of Entomology
Mailing Address:
Center for Vectorborne Diseases
University of California
Old Davis Road
Davis, CA 95616
Phone: 530-752-0151
Fax: 530-754-6360
E-mail: cmbarker@ucdavis.edu
["cmbarker.vcf" (text/x-vcard)]
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