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

[Jin Li]

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
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> COSTA RICA
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> mspinola10 using gmail.com
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> <http://www.icomvis.una.ac.cr/index.php/manuel>
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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

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