Simulated redistricting plans for the analysis and evaluation of redistricting in the United States

Cory McCartan; Christopher T. Kenny; Tyler Simko; George Garcia; Kevin Wang; Melissa Wu; Shiro Kuriwaki; Kosuke Imai

doi:10.1038/s41597-022-01808-2

Scientific Data (Nov 2022)

Simulated redistricting plans for the analysis and evaluation of redistricting in the United States

Cory McCartan,
Christopher T. Kenny,
Tyler Simko,
George Garcia,
Kevin Wang,
Melissa Wu,
Shiro Kuriwaki,
Kosuke Imai

Affiliations

Cory McCartan: Department of Statistics, Harvard University
Christopher T. Kenny: Department of Government, Harvard University
Tyler Simko: Department of Government, Harvard University
George Garcia: Department of Economics, Massachusetts Institute of Technology
Kevin Wang: Harvard College
Melissa Wu: Harvard College
Shiro Kuriwaki: Department of Political Science, Yale University
Kosuke Imai: Department of Statistics, Harvard University

DOI: https://doi.org/10.1038/s41597-022-01808-2
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 10

Abstract

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Measurement(s) redistricting, partisanship Technology Type(s) sequential Monte Carlo algorithm Factor Type(s) population deviation • compactness • county splits • racial composition • municipality splits Sample Characteristic - Organism Congressional redistricting Sample Characteristic - Environment year 2020 Sample Characteristic - Location United States

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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