2010 Massachusetts Congressional Districts

[Aneetej]

Redistricting requirements

In Massachusetts, districts must:

1. Be contiguous
2. Have equal populations
3. Be geographically compact
4. Preserve county and municipality boundaries as much as possible

Algorithmic Constraints

We enforce a maximum population deviation of 0.05%. We use a pseudo-county constraint to help preserve county and municipality boundaries.

Data Sources

Data for Massachusetts comes from the ALARM Project's 2020 Redistricting Data Files.

Pre-processing Notes

No manual pre-processing decisions were necessary.

Simulation Notes

We sample 5,000 districting plans for Massachusetts over two runs. No special techniques were needed to produce the sample.

Validation

SMC: 5,000 sampled plans of 9 districts on 2,165 units
`adapt_k_thresh`=0.985 • `seq_alpha`=0.5
`est_label_mult`=1 • `pop_temper`=0

Plan diversity 80% range: 0.48 to 0.76

R-hat values for summary statistics:
   pop_overlap      total_vap       plan_dev      comp_edge    comp_polsby 
     1.0000487      1.0023960      1.0019437      1.0073902      1.0060788 
     pop_white      pop_black       pop_hisp       pop_aian      pop_asian 
     1.0028252      1.0008330      1.0031391      1.0119444      1.0076714 
      pop_nhpi      pop_other        pop_two      vap_white      vap_black 
     1.0047201      1.0005845      1.0007707      1.0006314      1.0011000 
      vap_hisp       vap_aian      vap_asian       vap_nhpi      vap_other 
     1.0021735      1.0117563      1.0024991      1.0055309      1.0004479 
       vap_two pre_16_dem_cli pre_16_rep_tru pre_20_dem_bid pre_20_rep_tru 
     1.0029299      1.0078367      1.0043473      1.0074794      1.0027101 
uss_18_dem_war uss_18_rep_die uss_20_dem_mar uss_20_rep_oco gov_18_rep_bak 
     1.0050153      1.0036246      1.0068421      1.0031245      1.0027185 
gov_18_dem_gon atg_18_dem_hea atg_18_rep_mcm         adv_16         adv_18 
     1.0030871      1.0086362      1.0048320      1.0078367      1.0059540 
        adv_20         arv_16         arv_18         arv_20  county_splits 
     1.0071927      1.0043473      1.0053729      1.0030743      1.0019480 
   muni_splits            ndv            nrv        ndshare          e_dvs 
     1.0163033      1.0051055      1.0040678      1.0117118      1.0114710 
         e_dem          pbias           egap 
     0.9998162      1.0099548      1.0043140 

Sampling diagnostics for SMC run 1 of 2 (2,500 samples)
         Eff. samples (%) Acc. rate Log wgt. sd  Max. unique Est. k 
Split 1     2,404 (96.1%)     14.8%        0.42 1,589 (101%)      7 
Split 2     2,370 (94.8%)     22.2%        0.44 1,567 ( 99%)      4 
Split 3     2,362 (94.5%)     13.5%        0.46 1,567 ( 99%)      6 
Split 4     2,361 (94.5%)     17.4%        0.48 1,527 ( 97%)      4 
Split 5     2,343 (93.7%)     19.7%        0.49 1,563 ( 99%)      3 
Split 6     2,325 (93.0%)     22.9%        0.51 1,533 ( 97%)      2 
Split 7     2,352 (94.1%)     16.9%        0.47 1,438 ( 91%)      2 
Split 8     2,319 (92.8%)      2.7%        0.51 1,247 ( 79%)      4 
Resample    1,780 (71.2%)       NA%        0.52 1,971 (125%)     NA 

Sampling diagnostics for SMC run 2 of 2 (2,500 samples)
         Eff. samples (%) Acc. rate Log wgt. sd  Max. unique Est. k 
Split 1     2,400 (96.0%)     16.9%        0.42 1,582 (100%)      6 
Split 2     2,364 (94.6%)     17.8%        0.45 1,559 ( 99%)      5 
Split 3     2,363 (94.5%)     20.1%        0.46 1,547 ( 98%)      4 
Split 4     2,360 (94.4%)     14.3%        0.47 1,530 ( 97%)      5 
Split 5     2,347 (93.9%)     20.6%        0.50 1,542 ( 98%)      3 
Split 6     2,325 (93.0%)     23.7%        0.51 1,498 ( 95%)      2 
Split 7     2,334 (93.4%)      8.8%        0.48 1,467 ( 93%)      4 
Split 8     2,298 (91.9%)      3.7%        0.52 1,217 ( 77%)      3 
Resample    1,663 (66.5%)       NA%        0.54 1,954 (124%)     NA 

•  Watch out for low effective samples, very low acceptance rates (less than 1%),
large std. devs. of the log weights (more than 3 or so), and low numbers of unique
plans. R-hat values for summary statistics should be between 1 and 1.05.

Checklist

• [x] I have followed the instructions
• [x] I have updated the tracker
• [x] All TODO lines from the template code have been removed
• [x] I have merged in the master branch and then recalculated summary statistics
• [x] I have run enforce_style() to format my code
• [x] The documentation copied above is up-to-date
• [x] There are no data files in this pull request
• [x] None of the file output paths (for the redist_map and redist_plans objects, and summary statistics) have been edited

delete this line and all the tags except the reviewers you need @CoryMcCartan

[CoryMcCartan]

merging into this repo's MA branch