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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 [aut, cre], Charlie Revord [aut], Branson Fox [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 |
Reference manual: | areal.pdf |
Vignettes: |
Areal Weighted Interpolation Areal Interpolation in 'R' Preparing Data for Interpolation |
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 imports: | ncdfgeom |
Reverse suggests: | populR |
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.