spCF: Coarse-to-Fine Spatial and Spatio-Temporal Modeling

Provides functions for coarse-to-fine spatial and spatio-temporal modeling, enabling fast prediction, regression, and uncertainty quantification for moderate to large datasets. For methodological details, see Murakami et al. (2026) <doi:10.1111/gean.70034> and related work on generalized linear, downscaling, and dynamic spatio-temporal extensions.

README.md Coarse-to-fine dynamic space-time modeling: An application example Coarse-to-fine spatial downscaling (CF-DS): Application example Coarse-to-fine spatial GLMM: Application examples Coarse-to-fine spatial modeling (CFSM) using the spCF package

Vignettes Man pages API and functions Files

Package details
Author	Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut], Jose Luis Blanco-Claraco [ctb, cph] (Author of the bundled 'nanoflann' C++ library (src/nanoflann.h)), Marius Muja [cph] (Copyright holder of the bundled 'nanoflann' C++ library), David G. Lowe [cph] (Copyright holder of the bundled 'nanoflann' C++ library)
Maintainer	Daisuke Murakami <dmuraka@ism.ac.jp>
License	GPL (>= 2)
Version	0.2.2
URL	https://github.com/dmuraka/spCF
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("spCF")`