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University of Denver

Geovisualization and Open-Source Web Mapping of Big Origin-Destination Data, a Test Case

Abstract

dc:description.abstract

<p>Migration plays a key role in determining the health and success of cities, counties, and countries. It also plays a key role in determining the health and wellbeing of the individuals and families that undergo a migration event. This has led many scholars to map and study global migration patterns to understand how and why people move. While migration data are powerful, the origin-destination (O-D), tabular format of the data can be hard to interpret. To make O-D data more powerful, geographers can lean on computer cartography and new geovisualization techniques to help decision makers make sense of large, complex datasets. This research seeks to determine which visualization methods are applicable to represent O-D migration flows at multiple spatial scales via a cost-effective and scalable web-based mapping tool.</p>

Degree

thesis:*
Name thesis:degree_name
M.A.
Level thesis:degree_level
Masters Thesis
Year dc:date.available
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hiebert, Joseph
Contributors dc:contributor
  • Paul Sutton
  • Jing Li
  • Guiming Zhang

Subjects

dc:subject × 11

Rights

dc:rights
Statement dc:rights
  • <p>Copyright is held by the author. User is responsible for all copyright compliance.</p>
Language dc:language
en

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.du.edu/etd/2054
OAI identifier oai:identifier
oai:digitalcommons.du.edu:etd-3047

Chain of custody

source
Harvested from
University of Denver
Base URL
digitalcommons.du.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hiebert, Joseph. Geovisualization and Open-Source Web Mapping of Big Origin-Destination Data, a Test Case. Masters Thesis thesis, 2022. https://digitalcommons.du.edu/etd/2054