Redistricting Analaysis Application

Prerequisite

• Typescript
• React
• Python
• MongoDB
• HPC Server

Goal

• Evaluate effectiveness of distance measures for pairs of district plans
• Analyze clustering effects among ensemble of random district plans
• Understand patterns or clusters within an ensemble
• Determine how many plans in an ensemble are needed to identify almost all clusters
• Visualize clusters
• Visualize of thousands of random plans for selection of individual plans

Project Requirements

• Generate 10,000 random district plans for each of 3 states
• Measure pairwise distance between plans using various distance measures
• For each distance measure, perform cluster analysis to identify plan clusters
• Store data in a server database
• Develop web interface to allow a user to
  • Generate 10,000 random district plans for each of 3 states
  • Measure pairwise distance between plans using various distance measures
  • For each distance measure, perform cluster analysis to identify plan clusters
  • Store data in a server database
  • Develop web interface to allow a user to
  • Visualize characteristics of all plans in an ensemble
  • Determine best cluster distance
  • Visualize a cluster of plans
  • Visualize characteristics of the set of clusters
  • Select a plan form the ensemble based on quality measures of each plan
  • Compare the effectiveness of distance measures

GUI

Data

APIS