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

Manuel Spínola m@p|no|@10 @end|ng |rom gm@||@com
Fri Feb 21 14:03:36 CET 2025


Thank you Marcelino,

I will look at the package.

Manuel


El vie, 21 feb 2025 a las 3:01, Marcelino de la Cruz Rot via R-sig-Geo (<
r-sig-geo using r-project.org>) escribió:

> Hi,
> I'm not completely sure if this is what you are asking for but just in
> case:
>
> https://blasbenito.github.io/spatialRF/
>
> Cheers, Marcelino
>
>
> El 21/02/2025 a las 9:46, Edzer Pebesma 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>
> >>>>
> >>>>          [[alternative HTML version deleted]]
> >>>>
> >>>> _______________________________________________
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> >>>>
> >>>
> >>
> >
>
> --
> Marcelino de la Cruz Rot
> Coordinador funcional de Biología
> Instituto de Investigación en Cambio Global (IICG-URJC)
> Dpto. Biología y Geología, Física y Química Inorgánica
> Universidad Rey Juan Carlos (URJC)
> C. Tulipán, s/n, 28933 Móstoles, Madrid
>
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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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