[R-sig-Geo] R packages for multivariate spatial models

[Manuel Spínola]

Thank you very much Roge.

Yes, this is the kind of multivariate spatial model I am looking for.
Particularly for areal or lattice data.



El lun, 8 abr 2024 a las 6:08, Roger Bivand (<Roger.Bivand using nhh.no>)
escribió:

> Is https://doi.org/10.32614/RJ-2023-068 more relevant? The article has
> suppleementary materials including multivariate responses for a number of
> settings.
>
> Hope this helps,
>
> Roger
>
> --
> Roger Bivand
> Emeritus Professor
> Norwegian School of Economics
> Postboks 3490 Ytre Sandviken, 5045 Bergen, Norway
> Roger.Bivand using nhh.no
>
> ________________________________________
> From: R-sig-Geo <r-sig-geo-bounces using r-project.org> on behalf of Manuel
> Spínola <mspinola10 using gmail.com>
> Sent: 08 April 2024 13:47
> To: Jin Li
> Cc: r-sig-geo
> Subject: Re: [R-sig-Geo] R packages for multivariate spatial models
>
> [You don't often get email from mspinola10 using gmail.com. Learn why this is
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>
> Thank you very much Sarah and Jin,
>
> I am referring to multivariate response spatial models.
>
>
>
> El dom, 7 abr 2024 a las 22:52, Jin Li (<jinli68 using gmail.com>) escribió:
>
> > Hi Manuel,
> >
> > If your models are for predictive purpose, `spm` and `spm2` are perhaps
> > the right packages for you. Some methods for spatial predictive modelling
> > are introduced in the `spm` and `spm2` packages, including such as modern
> > statistical methods (i.e., generalised linear models, glmnet, generalised
> > least squares), random forest, gbm, svm, kriging methods, and a number of
> > hybrid methods. For more information, please see "Spatial Predictive
> > Modeling with R" that provides many reproducible examples of these
> methods.
> >
> > Hope this helps,
> >
> > On Mon, Apr 8, 2024 at 7:14 AM Manuel Spínola <mspinola10 using gmail.com>
> > wrote:
> >
> >> Dear list members,
> >>
> >> I am looking for suggestions of R packages to fit multivariate spatial
> >> models.
> >>
> >>
> >> --
> >> *Manuel Spínola, Ph.D.*
> >> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> >> Universidad Nacional
> >> Apartado 1350-3000
> >> Heredia
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> >> mspinola using una.cr <mspinola using una.ac.cr>
> >> mspinola10 using gmail.com
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> >> <http://www.icomvis.una.ac.cr/index.php/manuel>
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> >> >
> >> Blog sobre Ciencia de Datos: Blog de Ciencia de Datos
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> >>
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> >>
> >
> >
> > --
> > Jin
> > ------------------------------------------
> > Jin Li, PhD
> > Founder, Data2action, Australia
> > https://www.researchgate.net/profile/Jin_Li32
> > https://scholar.google.com/citations?user=Jeot53EAAAAJ&hl=en
> >
>
>
> --
> *Manuel Spínola, Ph.D.*
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> mspinola using una.cr <mspinola using una.ac.cr>
> mspinola10 using gmail.com
> Teléfono: (506) 8706 - 4662
> Sitio web institucional: ICOMVIS
> <http://www.icomvis.una.ac.cr/index.php/manuel>
> Sitio web personal: Sitio personal <https://mspinola-sitioweb.netlify.app/
> >
> Blog sobre Ciencia de Datos: Blog de Ciencia de Datos
> <https://mspinola-ciencia-de-datos.netlify.app/>
>
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-- 
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspinola using una.cr <mspinola using una.ac.cr>
mspinola10 using gmail.com
Teléfono: (506) 8706 - 4662
Sitio web institucional: ICOMVIS
<http://www.icomvis.una.ac.cr/index.php/manuel>
Sitio web personal: Sitio personal <https://mspinola-sitioweb.netlify.app>
Blog sobre Ciencia de Datos: Blog de Ciencia de Datos
<https://mspinola-ciencia-de-datos.netlify.app>

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