Package: remap 0.3.2

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>.

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

remap_0.3.2.tar.gz
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remap_0.3.2.tgz(r-4.5-any)remap_0.3.2.tgz(r-4.4-any)remap_0.3.2.tgz(r-4.3-any)
remap_0.3.2.tar.gz(r-4.5-noble)remap_0.3.2.tar.gz(r-4.4-noble)
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remap.pdf |remap.html
remap/json (API)
NEWS

# Install 'remap' in R:
install.packages('remap', repos = c('https://jadonwagstaff.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jadonwagstaff/remap/issues

Datasets:
  • utsnow - Snowpack at weather stations in Utah on April 1st, 2011.
  • utws - Watershed polygons within the state of Utah.

On CRAN:

4.77 score 1 stars 59 scripts 342 downloads 2 exports 13 dependencies

Last updated 1 months agofrom:78a908bc7c. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-winWARNINGFeb 14 2025
R-4.5-macWARNINGFeb 14 2025
R-4.5-linuxWARNINGFeb 14 2025
R-4.4-winWARNINGFeb 14 2025
R-4.4-macWARNINGFeb 14 2025
R-4.3-winWARNINGFeb 14 2025
R-4.3-macWARNINGFeb 14 2025

Exports:redistremap

Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk

Introduction to remap

Rendered fromIntroduction_to_remap.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2025-01-09
Started: 2020-12-08