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 (2021) <https://digitalcommons.usu.edu/etd/8065/>.
|Author||Jadon Wagstaff [aut, cre], Brennan Bean [aut]|
|Maintainer||Jadon Wagstaff <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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