sandwichr: Spatial Prediction Based on Spatial Stratified Heterogeneity

Spatial prediction is a common practice in social and environmental science. This package enables the implementation of SSH-based spatial prediction proposed by Wang et al. (2013) <doi:10.1068/a44710>. It provides functions to (1) evaluate stratification schemes, (2) interpolate sampling data over user-defined reporting units, (3) assess prediction uncertainties, and (4) evaluate overall accuracy using the k-fold cross-validation estimate.

Version: 1.0.4
Depends: R (≥ 3.5.0)
Imports: sf, ggplot2, gridExtra, geodetector, caret, lwgeom, tools, dplyr
Suggests: rmarkdown, knitr, MASS, ggpubr, ape
Published: 2023-04-26
Author: Yue Lin [aut, cre], Chengdong Xu [aut, ctb], Jinfeng Wang [aut, ctb]
Maintainer: Yue Lin <lin.3326 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: sandwichr results


Reference manual: sandwichr.pdf
Vignettes: A Tutorial for the 'sandwichr' R Package


Package source: sandwichr_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sandwichr_1.0.4.tgz, r-oldrel (arm64): sandwichr_1.0.4.tgz, r-release (x86_64): sandwichr_1.0.4.tgz, r-oldrel (x86_64): sandwichr_1.0.4.tgz
Old sources: sandwichr archive


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