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 <mspinol...@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 > COSTA RICA > mspin...@una.cr <mspin...@una.ac.cr> > mspinol...@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]] > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > -- Jin ------------------------------------------ Jin Li, PhD Founder, Data2action, Australia https://www.researchgate.net/profile/Jin_Li32 https://scholar.google.com/citations?user=Jeot53EAAAAJ&hl=en [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
