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areal: Areal Weighted Interpolation

A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple variables in a single function call. These tools provide a full-featured workflow for validation and estimation that fits into both modern data management (e.g. tidyverse) and spatial data (e.g. sf) frameworks.

Version: 0.1.8
Depends: R (≥ 3.4)
Imports: dplyr, glue, purrr, rlang, sf
Suggests: knitr, rmarkdown, testthat, covr
Published: 2022-05-31
DOI: 10.32614/CRAN.package.areal
Author: Christopher Prener ORCID iD [aut, cre], Charlie Revord [aut], Branson Fox ORCID iD [aut]
Maintainer: Christopher Prener <chris.prener at gmail.com>
BugReports: https://github.com/chris-prener/areal/issues
License: GPL-3
URL: https://chris-prener.github.io/areal/
NeedsCompilation: no
Citation: areal citation info
Materials: README NEWS
In views: MissingData, Spatial
CRAN checks: areal results

Documentation:

Reference manual: areal.pdf
Vignettes: Areal Weighted Interpolation
Areal Interpolation in 'R'
Preparing Data for Interpolation

Downloads:

Package source: areal_0.1.8.tar.gz
Windows binaries: r-devel: areal_0.1.8.zip, r-release: areal_0.1.8.zip, r-oldrel: areal_0.1.8.zip
macOS binaries: r-release (arm64): areal_0.1.8.tgz, r-oldrel (arm64): areal_0.1.8.tgz, r-release (x86_64): areal_0.1.8.tgz, r-oldrel (x86_64): areal_0.1.8.tgz
Old sources: areal archive

Reverse dependencies:

Reverse imports: ncdfgeom
Reverse suggests: populR

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.