As a cost-effective and time-saving solution, iRedistrict® can dramatically save the workload and improve the outcome quality of redistricting projects. iRedistrict® excels in its capability to leverage user inputs (such as communities of interests, existing boundaries, etc.) and powerful computer algorithms, which can generate high-quality redistricting plans that meet both mandatory requirements and user-specified preferences.
iRedistrict® has online edition and desktop edition.
Main Features
Application Areas
School Redistricting
- • Balance capacity
- • preserve existing boundaries
- • minimize boundary changes
Political Redistricting
- • Create majority-minority districts
- • Achieve population equality
- • Maximize competitiveness
Site Selection Evaluation
- • Identify impacts to the network
- • Compare statistics of candidates
- • What-if analysis
Police Patrol Beats
- • Balance service calls and workload
- • Increase police presence
- • Minimize response time
Traffic Analysis Zone
- • Nested within county boundaries
- • Balance population and area
- • Homogeneous land use
Territory Planning
- • Balance workloads
- • Minimize travel distances
- • Minimize number of staffs
Redistricting Without Site

Smart Redistricting

Manual Redistricting
Redistricting with Sites

Smart Redistricting for Site

Manual Redistricting for Site
Community of Interest Collection

COI Collection
FAQ
Does iRedistrict support starting from an existing plan
Yes, with iRedistrict, you can load an existing plan as a boundary, then ask the software to produce plans minimizing the cross of this boundary. It supports working with multiple boundaries. That means, you can minimize the cross of an existing plan and also administrative boundaries.
How can iRedistrict produce 0-deviation plan?
One solution is to set higher weight and very low threshold on population equality before running the optimization. After producing the plans, lock the districts that have 0-deviation and rerun the redistricting optimization. Repeat it several times, you will get 0-deviation plans. Another solution is to fine tune the plan boundaries. Pick a plan and mix it with the block layer to produce a polygon file that has blocks around the plan boundaries. Then run redistricting optimization on this file. Repeat the first solution if necessary.