Coarse-to-Fine Spatial Modeling [R package spCF version 0.1.2]

spCF: Coarse-to-Fine Spatial Modeling

Provides functions for coarse-to-fine spatial modeling (CFSM), enabling fast spatial prediction, regression, and uncertainty quantification. This method is suitable for moderate to large samples. For methodological details, see Murakami et al. (2026) <doi:10.1111/gean.70034> and related works on its generalized-linear <doi:10.48550/arXiv.2605.01157> and downscaling extensions.

Version: 0.1.2

Imports: FNN, fields, nloptr, dbscan, ranger, withr, Rcpp

LinkingTo: Rcpp

Suggests: sp, sf, knitr, rmarkdown, CARBayesdata, lightgbm

Published: 2026年06月29日

DOI: 10.32614/CRAN.package.spCF

Author: Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut]

Maintainer: Daisuke Murakami <dmuraka at ism.ac.jp>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: yes

CRAN checks: spCF results

Documentation:

Reference manual: spCF.html , spCF.pdf

Vignettes: spCF_downscale (source, R code)
spCF_glm (source, R code)
spCF_lm (source, R code)

Downloads:

Package source: spCF_0.1.2.tar.gz

Windows binaries: r-devel: spCF_0.1.2.zip, r-release: spCF_0.1.2.zip, r-oldrel: spCF_0.1.2.zip

macOS binaries: r-release (arm64): spCF_0.1.2.tgz, r-oldrel (arm64): spCF_0.1.2.tgz, r-release (x86_64): spCF_0.1.2.tgz, r-oldrel (x86_64): spCF_0.1.2.tgz

Old sources: spCF archive

Linking:

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