CRAN/E | remap

remap

Regional Spatial Modeling with Continuous Borders

Installation

About

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.

Citation remap citation info
github.com/jadonwagstaff/remap
Bug report File report

Key Metrics

Version 0.3.1
R ≥ 4.1.0
Published 2023-06-14 478 days ago
Needs compilation? no
License GPL-3
CRAN checks remap results

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Maintainer

Maintainer

Jadon Wagstaff

Authors

Jadon Wagstaff

aut / cre

Brennan Bean

aut

Material

NEWS
Reference manual
Package source

Vignettes

Introduction to remap

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

remap archive

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