Areal interpolation is the process making estimates from a source set of polygons to an overlapping but incongruent set of target polygons. One challenge with areal interpolation is that, while the processes themselves are well documented in the academic literature, implementing them often involves “reinventing the wheel.” While the
sf does offer a basic interface for areal weighted interpolation (
st_interpolate_aw), it lacks some features that we use in our work. The
areal package contains a suite tools for validation and estimation, providing a full-featured workflow that fits into both modern data management (e.g.
tidyverse) and spatial data (e.g.
An article describing
areal’s approach to areal weighted interpolation has been published in the The Journal of Open Source Software. The article includes benchmarking of
areal performance on several data sets. Please cite the paper if you use
areal in your work!
This version of
areal contains all of the bug fixes that were identified by early adaopters after the initial CRAN submission. Special thanks to Matt Herman and David Blodgett for their issues and pull requests! Check out the Changelog for details on all of the bugs that were identified.
sf package is already installed, the easiest way to get
areal is to install it from CRAN:
Alternatively, the development version of
areal can be accessed from GitHub with
Additional details, including some tips for installing
sf, can be found in the Get started article.
In addition to instructions for installation, the main Get started article has:
arealpackage’s development roadmap!