Geography
First Advisor
John Clark Archer
Date of this Version
12-2017
Abstract
Racial segregation has long been a great concern in the United States. Scholars study and measure racial segregation over different time periods to trace the changing patterns of racial segregation. Chicago, as the nation’s third largest city, also ranked on top of the most segregated cities. Previous studies measured racial segregation in Chicago only numerically; few studies have used geospatial statistic methods to identify racial segregation patterns in the Chicago metropolitan area. This study uses “Hotspot Analysis” (Getis Ord Gi*) to identify Chicago’s most recent segregation patterns among four major ethnic and racial groups: White, African American, Hispanic and Asian. In addition, racial cluster patterns at census tract level are also measured to assess the spatial change of segregation among each studied racial group within the Chicago metropolitan area from 2000 to 2014. The results reveal that Chicago since 2000 has become less segregated, but that the African American population remains highly segregated from other racial groups. Moreover, high clusters tend to concentrate near or within Cook County and the overall clustering trend has also intensified.
Advisor: J. Clark Archer
Included in
Geographic Information Sciences Commons, Human Geography Commons, Spatial Science Commons
Comments
A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Arts, Major: Geography, Under the Supervision of Professor John Clark Archer. Lincoln, Nebraska: December 2017.
Copyright (c) 2017 Roy T. Yao