Regional Spatial Modeling with Continuous Borders
Automatically creates separate regression models for different spatial regions. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders.
See the R Journal publication below for more details:
Wagstaff, J. & Bean, B. (2023). remap: regionalized models with spatially smooth predictions. The R Journal, 14(4), 160-178. https://doi.org/10.32614/RJ-2023-004
remap - Builds regional models able to make continuous predictions in space.
redist - Pre-calculates distances. Useful in cases where multiple models are made with the same data.
Install this package from the CRAN repository.
install.packages("remap")
Alternatively, use devtools to install the development version of this package.
To install devtools on R run:
install.packages("devtools")
After devtools is installed, to install the remap package on R run:
devtools::install_github("jadonwagstaff/remap")
Jadon Wagstaff
GPL-3