[R-sig-Geo] Random forest classification combined with spatial linear model prediction

[Manuel Spínola]

Thank you Edzer,

I will take a look at the package.

Manuel

El vie, 21 feb 2025 a las 2:46, Edzer Pebesma (<
edzer.pebesma using uni-muenster.de>) escribió:

> I'm not entirely sure what you mean by spatial linear model, but it may
> be worth looking into
> https://cran.r-project.org/web/packages/RandomForestsGLS/index.html
>
> The paper referenced in there,
> https://doi.org/10.1080/01621459.2021.1950003 , is worth reading!
>
> On 20/02/2025 22:50, Manuel Spínola wrote:
> > Thank you Ben,
> >
> > I know tidysdm, and it’s a great package, but I don’t think it accounts
> for
> > spatial structure in the way I expect—though I could be wrong. It does
> use
> > spatial_block_cv, which likely considers the spatial component.
> >
> > It is my understanding that sprflm from the spmodel package applies
> kriging
> > to the residuals.
> >
> >
> > Manuel
> >
> >
> >
> >
> > El jue, 20 feb 2025 a las 15:20, Ben Tupper (<btupper using bigelow.org>)
> > escribió:
> >
> >> Hi,
> >>
> >> I'm not sure I fully understand what you are asking for, but are
> >> describing something like tidysdm
> >> <https://evolecolgroup.github.io/tidysdm/>?
> >>
> >> Cheers,
> >> Ben
> >>
> >> On Thu, Feb 20, 2025 at 3:16 PM Manuel Spínola <mspinola10 using gmail.com>
> >> wrote:
> >>
> >>> Dear list members,
> >>>
> >>> Is there any R package that combines random forest classification and
> >>> spatial linear model prediction?
> >>>
> >>> The spmodel can fit this type of model but only for random forest
> >>> regression according to the help document.
> >>>
> >>> My goal is to work with species distribution modelling with random
> forest
> >>> but includes the spatial structure of the data.
> >>>
> >>> Manuel
> >>>
> >>>
> >>> --
> >>> *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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> >>>
> >>> _______________________________________________
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> >>> R-sig-Geo using r-project.org
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> >>>
> >>
> >
>
> --
> Edzer Pebesma (he/him)
> Universität Münster, Institute for Geoinformatics
> Heisenbergstrasse 2, 48149 Münster, Germany
> Phone: +49 251 8333081
>
>

-- 
*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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