Term | Definition |
---|---|
Gerrymandering | |
Gerrymander |
The act of manipulating district lines to control political
outcomes. This means that you are not actually choosing the
member of Congress that you want representing you, they are
being chosen for you. Gerrymandering harms our democracy and
could lead to laws being passed that do not represent you, or your community. |
Packing | The action of packing like-minded voters to as few districts as possible |
Cracking | The action of splitting like-minded voters with similar characteristics across different districts |
Fairness Metric Fairness Formulas |
|
Reock Score |
A measurement of compactness for each district that ranges from 0 to 1. It is the ratio between the area of a district and the area of the minimum bounding circle around the district. To determine the compactness of the district, the score needs to be closer to 1 for the district to be considered compact. The formula which is represented as \( R = \frac {A_D} {A_{mbc}} \) where \(A_D\) is the area of the district and \(A_{mbc}\) is the area of the district's minimum bounding circle. |
Polsby Popper |
Another measurement of compactness. It is the ratio between a district's area and the square of its perimeter. The closer the score is to 1, the more compact the district is. The formula which is represented as \( PP(D) = \frac {4\pi {A_D}} {P(D)^2} \) where \({A_D}\) is the area of the district and \(P\) is the perimeter of the district. |
Efficiency Gap |
Measurement of competitiveness, where the wasted votes in an election (the votes that did not contribute to the election outcome for a specific party) quantify the degree of partisanship. The metric can be either positive or negative. A negative value indicates a Democratic advantage, while a positive value indicates a Republican advantage in the outcomes. The formula which is represented as \( EG = \frac {W_D - W_R} {T} \) where \(W_D\) is the wasted votes for the Democratic party, \(W_R\) is the wasted votes for the Republican party, and \(T\) is the total number of votes. |
Lopsided Margin Test |
District competitiveness measurement that calculates the difference between the average percentages by which each party won in a district. The formula which is represented as \( LMT = {W_A - W_B}\) where \(W_A\) is the average percentage by which party A won in a district and \(W_B\) is the average percentage by which party B won in a district. |
Mean Median Difference |
Examines how the distribution of district vote-shares affects potential seat outcomes, rather than solely focusing on the nominal seat outcome. Calculates the difference between the median and mean vote-share across all districts for one party The formula which is represented as \(f_{mm}(z) = \text{Median}\{F_k(z)\} - \frac{1}{K} \sum_{k=1}^{K} F_k(z)\). Where \(F_k(z)\) is the vote share of party \(z\) in district \(k\). The mean median difference is calculated for each party in a state. |
Dissimilarity Index |
Measure of minority representation within a district. Each index value indicates how the minority population is distributed across the districts in the state. This metric is measured on a scale from 0 to 1 where values closer to 1 indicate higher segregation of minority populations between districts. The formula which is represented as \( D = \frac{1}{2} \sum_{i=1}^N \left| \frac{a_i}{A} - \frac{b_i}{B} \right| \) where \(N\) equals the number of districts in a state, \({a_i}\) as the population of group \(A\) in a district, \(A\) as the total population of group A, \({b_i}\) as the population of group \(B\) in a district, and \(B\) as the total population of group B. |
GerryChain | |
Markov Chain Monte Carlo |
Technique for sampling from a probability distribution and using
those samples to approximate desired quantity. Click
here
to learn more about Markov Chain Monte Carlo. |
Tools | |
Folium | Python library that is used to create various maps. Built on leaflet.js, an open-source Javascript library that can be used to create interactive maps along with additional features. Click here to learn more about Folium. |
GeoPandas | Library for processing geographic data, contains several useful utilities for our needs, such as processing shapefiles, which are a geographic data file type used by both the Census and RDH. Click here to learn more about GeoPandas. |
GerryChain | Library for using Markov Chain Monte Carlo method to study the problem of political redistricting and build/analyze districting plans. Click here to learn more about GerryChain. |