Redistricting in Clean Tables.
rict 
rict provides clean, formatted gt tables to accompany redistricting maps. It is designed to complement redist and redistmetrics, but works with any electoral or demographic data.
Installation
You can install the development version of rict from GitHub with:
pak::pak('christopherkenny/rict')
Overview
rict provides a family of rict_*() functions, each producing a formatted table for a specific redistricting quantity:
| Function | Description |
|---|---|
rict() | District-level summary from a redist_map or redist_plans |
rict_demographics() | Population and voting-age population by race/ethnicity |
rict_elections() | Democratic vote shares across electoral contests |
rict_compactness() | Common compactness scores (Polsby-Popper, Reock, etc.) |
rict_population() | Population and deviation from the ideal district size |
rict_splits() | Number of administrative units split by the plan |
rict_contiguity() | Number of contiguous pieces per district |
Additional helpers embed visuals directly inside a gt table:
| Function | Description |
|---|---|
gt_plot_sf() | Embed district map thumbnails |
gt_plot_compactness() | Embed compactness geometry plots |
Examples
Demographics
rict_demographics() summarizes total population and voting-age population by race/ethnicity across districts.
library(rict)
rict_demographics(map = wv, plan = wv$cd_2020)
Compactness
rict_compactness() tabulates common geometric compactness scores for each district.
rict_compactness(map = wv, plan = wv$cd_2020)
Elections
rict_elections() shows Democratic vote shares for each electoral contest, along with normal partisan averages.
rict_elections(map = wv, plan = wv$cd_2020)
Plans
For a redist_plans object, rict() formats a single draw as a table.
data(wv_plans)
rict(wv_plans, 'cd_2020')
