Regional Spatial Modeling with Continuous Borders

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) .


Reference manual

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install.packages("remap")

0.3.3 by Jadon Wagstaff, 4 months ago


https://github.com/jadonwagstaff/remap


Report a bug at https://github.com/jadonwagstaff/remap/issues


Browse source code at https://github.com/cran/remap


Authors: Jadon Wagstaff [aut, cre] , Brennan Bean [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports graphics, methods, parallel, sf, stats, units, utils

Suggests dplyr, ggplot2, knitr, maps, mgcv, rmarkdown


See at CRAN