Crandore Hub

remap

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) <doi:10.32614/RJ-2023-004>.

Versions across snapshots

VersionRepositoryFileSize
0.3.2 rolling linux/jammy R-4.5 remap_0.3.2.tar.gz 669.1 KiB
0.3.2 rolling linux/noble R-4.5 remap_0.3.2.tar.gz 668.9 KiB
0.3.2 rolling source/ R- remap_0.3.2.tar.gz 655.0 KiB
0.3.2 latest linux/jammy R-4.5 remap_0.3.2.tar.gz 669.1 KiB
0.3.2 latest linux/noble R-4.5 remap_0.3.2.tar.gz 668.9 KiB
0.3.2 latest source/ R- remap_0.3.2.tar.gz 655.0 KiB
0.3.2 2026-04-26 source/ R- remap_0.3.2.tar.gz 655.0 KiB
0.3.2 2026-04-23 source/ R- remap_0.3.2.tar.gz 655.0 KiB
0.3.2 2026-04-09 windows/windows R-4.5 remap_0.3.2.zip 671.1 KiB
0.3.2 2025-04-20 source/ R- remap_0.3.2.tar.gz 655.0 KiB

Dependencies (latest)

Imports

Suggests