Degree Type

Thesis

Degree Name

Master of Science (MS)

Date Information

May 2019

Department

Geography

First Advisor

Marcos Luna

Second Advisor

Keith Ratner

Third Advisor

David Strohschein

Abstract

Political redistricting plans often need to consider the compactness of the district’s shape. For states requiring districts to be compact, there is a need to quantify compactness. Existing measures of compactness unfairly penalize districts with coastlines and islands or whose geography itself is not compact. By incorporating information about the underlying geography into the calculation of a modified compactness score, it would be possible to use a compactness test more effectively and fairly across all districts. Several methods of incorporating such data were explored with test districts. A Python script was created to apply the calculations behind the selected method to any polygon shapefile. The script was run on the 436 districts of the 114th Congress of the United States to consider and analyze the modified compactness calculation and its usefulness. Scores for districts covering areas with a significant amount of water were improved when the modified compactness calculation was applied.

Included in

Geography Commons

COinS