Related Experiment Video
Updated: Aug 22, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
Published on: February 1, 2020
Simulated redistricting plans for the analysis and evaluation of redistricting in the United States
Cory McCartan1, Christopher T Kenny2, Tyler Simko2
1Department of Statistics, Harvard University, Cambridge, USA.
Abstract:
This article introduces the 50STATESIMULATIONS, a collection of simulated congressional districting plans and underlying code developed by the Algorithm-Assisted Redistricting Methodology (ALARM) Project. The 50STATESIMULATIONS allow for the evaluation of enacted and other congressional redistricting plans in the United States. While the use of redistricting simulation algorithms has become standard in academic research and court cases, any simulation analysis requires non-trivial efforts to combine multiple data sets, identify state-specific redistricting criteria, implement complex simulation algorithms, and summarize and visualize simulation outputs. We have developed a complete workflow that facilitates this entire process of simulation-based redistricting analysis for the congressional districts of all 50 states. The resulting 50STATESIMULATIONS include ensembles of simulated 2020 congressional redistricting plans and necessary replication data. We also provide the underlying code, which serves as a template for customized analyses. All data and code are free and publicly available. This article details the design, creation, and validation of the data.
Related Concept Videos
Manipulation and Analysis
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
GIS Software, Hardware, and Sources of GIS Data
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Thematic Layering in GIS

