z-logo
open-access-imgOpen Access
Geographic inequities in local higher education opportunities? : identifying college deserts with critical GIS
Author(s) -
Christopher Krause
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.32469/10355/63375
Subject(s) - geocoding , metropolitan area , ethnic group , geographic information system , python (programming language) , sample (material) , geography , regional science , higher education , access to higher education , data science , economic growth , computer science , political science , cartography , chemistry , archaeology , chromatography , law , operating system , economics
In a world where one's future is heavily impacted by having postsecondary education, access to college is a pertinent research topic. Access is a widely researched topic, but only recently has college access been studied specifically. This study proposes a geographic information systems based methodology for quantifying college access at multiple spatial scales. This methodology was implemented with the Python programming language and ArcGIS. A sample of six metropolitan statistical areas were identified and analyzed using the developed methodology. Within this sample, college access varied primarily by socio-economic status although some variation between race/ethnicity was identified. Further research is needed to assess whether these trends are generalizable. Quantification of college access will aid policy-makers to prepare reforms to reduce the inequity of college access.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom