Revisiting Compactness for District Plans
Not on the map. Why?
Abstract (arXiv)
Modern sampling methods create ensembles of district maps that score well on discrete compactness scores, whereas the Polsby-Popper and other shape-based scores remain highly relevant for building fair maps and litigating unfair ones. The aim of this paper is twofold. First, we introduce population-weighted versions of shape-based scores and show a precise sense in which this interpolates between shape-based and discrete scores. Second, we introduce a modification of the ReCom sampling method that produces ensembles of maps with improved shape-based compactness scores.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 8 references that are in the map. First posted on arXiv 4 Jan 2025.
Builds on
5 of 8 references.
References · 5
- 2019Recombination: A family of Markov chains for redistrictingcited by 11
- 2020Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Planscited by 8
- 2019Metropolized Forest Recombination for Monte Carlo Sampling of Graph Partitionscited by 3
- 2021Compact Redistricting Plans Have Many Spanning Treescited by 2
- 2022Spanning Trees and Redistricting: New Methods for Sampling and Validationcited by 1
Built on by
Not cited yet.