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.
","abstract_html":"<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>","abstract_has_math":false,"creators":["Hiebert, Joseph"],"institution":null,"degree_name":"M.A.","degree_level":"Masters Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Paul Sutton","Jing Li","Guiming Zhang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-01-01T08:00:00Z","date_published":"2022-01-01T08:00:00Z","updated_at":"2026-07-24T02:02:53Z","subjects":["Cartography","Geovisualization","Migration","Open-source","Origin-destination","Visualization","Geographic Information Sciences","Geography","Human Geography","Migration Studies","Other Geography"],"languages":["en"],"rights":["Copyright is held by the author. User is responsible for all copyright compliance.
"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.du.edu/etd/2054","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Paul Sutton","Jing Li","Guiming Zhang"]},{"key":"dc:creator","label":"Author","values":["Hiebert, Joseph"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2022-08-17T07:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.A."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cartography","Geovisualization","Migration","Open-source","Origin-destination","Visualization","Geographic Information Sciences","Geography","Human Geography","Migration Studies","Other Geography"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright is held by the author. User is responsible for all copyright compliance.
"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.du.edu/etd/2054"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Geovisualization and Open-Source Web Mapping of Big Origin-Destination Data, a Test Case"]}]}],"canonical_facts":{"dc:contributor":["Paul Sutton","Jing Li","Guiming Zhang"],"dc:creator":["Hiebert, Joseph"],"dc:date.available":["2022-08-17T07:00:00Z"],"dc:description.abstract":["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.
"],"dc:format":["application/pdf"],"dc:identifier":["https://digitalcommons.du.edu/etd/2054"],"dc:language":["en"],"dc:rights":["Copyright is held by the author. User is responsible for all copyright compliance.
"],"dc:subject":["Cartography","Geovisualization","Migration","Open-source","Origin-destination","Visualization","Geographic Information Sciences","Geography","Human Geography","Migration Studies","Other Geography"],"dc:title":["Geovisualization and Open-Source Web Mapping of Big Origin-Destination Data, a Test Case"],"thesis:degree_level":["Masters Thesis"],"thesis:degree_name":["M.A."]},"updated_at":"2026-07-24T02:02:53Z"}