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 |
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