[R-sig-Geo] On simultaneous autoregressive spatial models

[rpaolo1967 RP]

Thank you, Dr. Bivand. I'm modeling species distributions and need to
"thin" my data to reduce the effect of spatial autocorrelation. I'm using
both continuous (climate, etc.) and categorical (soil, etc.) variables. The
idea would be to fit simultaneous autoregressive models to the occurrence
data, use the resulting autoregressive coefficients to estimate the degrees
of freedom in the dataset, and consider them as the number of spatially
independent occurrences.

Again, thank you!

Paolo

El mar, 13 sept 2022 a las 12:28, Roger Bivand (<Roger.Bivand using nhh.no>)
escribió:

> On Mon, 12 Sep 2022, rpaolo1967 RP wrote:
>
> > Hi everyone,
> > Perhaps a dummy question. Can anybody please tell me whether is it
> > possible to fit a simultaneous autoregressive spatial model with both
> > quantitative and qualitative variables?
>
> On the RHS, yes, LHS would be limited dependent variables for qualitative,
> so not so easy - spatial probit etc. are available, but it isn't clear
> what your needs are.
>
> Hope this helps,
>
> Roger
>
> >
> > Paolo Ramoni
> >
> >       [[alternative HTML version deleted]]
> >
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> --
> Roger Bivand
> Emeritus Professor
> Department of Economics, Norwegian School of Economics,
> Postboks 3490 Ytre Sandviken, 5045 Bergen, Norway.
> e-mail: Roger.Bivand using nhh.no
> https://orcid.org/0000-0003-2392-6140
> https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en
>

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