preserve county and municipality boundaries as much as possible
preserve communities of interest
preserve the core of existing districts
Algorithmic Constraints
We enforce a maximum population deviation of 0.5%. We add a hinge Gibbs constraint targeting the same number of majority-minority districts as the enacted plan. We also apply a hinge Gibbs constraint to discourage packing of minority voters.
To preserve the cores of prior districts, we merge all precincts which are more than two precincts away from a district border under the 2000 plan.
Simulation Notes
We sample 5,000 districting plans for New Mexico across two independent runs of the SMC algorithm.
No special techniques were needed to produce the sample.
Redistricting requirements
In New Mexico, according to the New Mexico Legislative Council Guidelines, districts must:
Algorithmic Constraints
We enforce a maximum population deviation of 0.5%. We add a hinge Gibbs constraint targeting the same number of majority-minority districts as the enacted plan. We also apply a hinge Gibbs constraint to discourage packing of minority voters.
Data Sources
Data for New Mexico comes from the ALARM Project's 2020 Redistricting Data Files. Data for the 2010 New Mexico enacted congressional map comes from All About Redistricting.
Pre-processing Notes
To preserve the cores of prior districts, we merge all precincts which are more than two precincts away from a district border under the 2000 plan.
Simulation Notes
We sample 5,000 districting plans for New Mexico across two independent runs of the SMC algorithm. No special techniques were needed to produce the sample.
Validation
Checklist
TODO
lines from the template code have been removedenforce_style()
to format my coderedist_map
andredist_plans
objects, and summary statistics) have been edited@christopherkenny