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: | 0.1.7 |
| Depends: | R (≥ 3.4) |
| Imports: | dplyr, glue, purrr, rlang, sf |
| Suggests: | knitr, rmarkdown, testthat, covr |
| Published: | 2020-07-23 |
| Author: | Christopher Prener
|
| Maintainer: | Christopher Prener <chris.prener at slu.edu> |
| BugReports: | https://github.com/slu-openGIS/areal/issues |
| License: | GPL-3 |
| URL: | https://github.com/slu-openGIS/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_0.1.7.tar.gz |
| Windows binaries: | r-devel: areal_0.1.7.zip, r-release: areal_0.1.7.zip, r-oldrel: areal_0.1.7.zip |
| macOS binaries: | r-release: areal_0.1.7.tgz, r-oldrel: areal_0.1.7.tgz |
| Old sources: | areal archive |
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