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University of Missouri--Columbia

Geographic inequities in local higher education opportunities? : identifying college deserts with critical GIS

Abstract

dc:description.abstract

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.

Degree

thesis:*
Name thesis:degree_name
M.A.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Geography (MU)
Grantor dc:publisher
University of Missouri--Columbia
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Krause, Christopher (Christopher Michael)
Advisor dc:contributor.advisor
  • Matisziw, Timothy C. (Timothy Clark),

Rights

dc:rights
Statement dc:rights
  • OpenAccess.
Language dc:language.iso
eng, English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/63375

Chain of custody

source
Harvested from
University of Missouri
Base URL
mospace.umsystem.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Krause, Christopher (Christopher Michael). Geographic inequities in local higher education opportunities? : identifying college deserts with critical GIS. Masters thesis, University of Missouri--Columbia, 2017. https://hdl.handle.net/10355/63375