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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:

Please use the canonical form https://CRAN.R-project.org/package=areal to link to this page.

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.
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