Regional Spatial Modeling with Continuous Borders R package remap version 0.3.3 Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff and Bean (2023) <doi:10.32614/RJ-2023-004>. Software Depends: R (>= 4.1.0) Imports: graphics (>= 4.1.0), methods (>= 4.1.0), parallel (>= 4.1.0), sf (>= 1.0.0), stats (>= 4.1.0), units (>= 0.6.7), utils (>= 4.1.0) Suggests: dplyr (>= 1.0.2), ggplot2 (>= 3.3.2), knitr (>= 1.30), maps (>= 3.3.0), mgcv (>= 1.8.33), rmarkdown (>= 2.5) Jadon Wagstaff <jadonw@gmail.com> Comprehensive R Archive Network (CRAN) Jadon Wagstaff [aut, cre], Brennan Bean [aut] GPL-3 2026-06-23 application/tgz https://CRAN.R-project.org/package=remap doi:10.32614/CRAN.package.remap