[R-sig-Geo] Generate the local coefficients in spgwr

[Dexter Locke]

The R script here might be helpful: DOI: 

https://doi.org/10.5061/dryad.3vh79

-Dexter 

> On May 4, 2018, at 8:09 PM, Danlin Yu <yud at mail.montclair.edu> wrote:
> 
> Alysson:
> 
> I believe if you calibrate your GWR model using the gwr() routine, the resulted gwr object shall have all the elements you need in the SDF element, as detailed in the package's manual:
> 
> The SDF is a SpatialPointsDataFrame (may be gridded) or SpatialPolygonsDataFrame object (see package "sp") with fit.points, weights, GWR coefficient estimates, R-squared, and coefficient standard errors in its "data" slot.
> 
> Once you extract this information, you can output them using generic functions like write.table to output to txt files, csv files and the like.
> 
> Hope this helps.
> 
> Cheers,
> 
> Dr. Danlin Yu
> 
> 
>> On 5/4/2018 5:17 PM, Alysson Luiz Stege wrote:
>> Hello, my name is Alysson.
>> 
>> I am estimating a model by the geographically weighted regression method
>> and using the spgwr package. I would like to know how to generate the local
>> coefficients, the value of the statistic t or the level of significance,
>> the standard deviation and then export them into a txt file, for example.
>> 
>> Thank's
>> 
>> Alysson
>> 
>>    [[alternative HTML version deleted]]
>> 
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> 
> -- 
> ___________________________________________
> Danlin Yu, Ph.D.
> Professor of GIS and Urban Geography
> Department of Earth & Environmental Studies
> Montclair State University
> Montclair, NJ, 07043
> Tel: 973-655-4313
> Fax: 973-655-4072
> Office: CELS 314
> Email: yud at mail.montclair.edu
> webpage: csam.montclair.edu/~yu
> 
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