Bayesian Spatial Functional Clustering R package sfclust version 1.1.0 Bayesian clustering of spatial regions with similar functional shapes using spanning trees and latent Gaussian models. The method enforces spatial contiguity within clusters and supports a wide range of latent Gaussian models, including non-Gaussian likelihoods, via the R-INLA framework. The algorithm is based on Zhong, R., Chacón-Montalván, E. A., and Moraga, P. (2026) <doi:10.1002/sim.70597>, extending the approach of Zhang, B., Sang, H., Luo, Z. T., and Huang, H. (2023) <doi:10.1214/22-AOAS1643>. The package includes tools for model fitting, convergence diagnostics, visualization, and summarization of clustering results. Software Depends: R (>= 4.1.0) Imports: igraph, sf, SparseM, stars, dplyr, methods, Matrix, ggplot2, patchwork Suggests: ggraph, here, INLA, knitr, rmarkdown, testthat (>= 3.0.0) Erick A. Chacón-Montalván <erick.chaconmontalvan@wur.nl> Comprehensive R Archive Network (CRAN) Erick A. Chacón-Montalván [aut, cre] (ORCID: <https://orcid.org/0000-0001-8068-1034>), Ruiman Zhong [aut] (ORCID: <https://orcid.org/0000-0002-4681-9199>), Paula Moraga [aut] (ORCID: <https://orcid.org/0000-0001-5266-0201>) MIT + file LICENSE (https://CRAN.R-project.org/package=sfclust/LICENSE) 2026-07-28 application/tgz https://CRAN.R-project.org/package=sfclust doi:10.32614/CRAN.package.sfclust