Data Science & Analytics

Redistricting Analysis

Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.

Publisher / source
brycewang-stanford/Auto-Empirical-Research-Skills (found on GitHub top repositories)
Upstream record
brycewang-stanford/Auto-Empirical-Research-Skills
Version
Version 1
Published
Publication review
Approved for publication
Content fingerprint
4ee641b38a510bb0742c0476e6f79d5806f7faaa2d72e779122d545028ee8fdf