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Visual Analytics Methods for Exploring Geographically Networked Phenomena


Abstract The connections between different entities define different kinds of networks, and many such networked phenomena are influenced by their underlying geographical relationships. By integrating network and geospatial analysis, the goal is to extract information about interaction topologies and the relationships to related geographical constructs. In the recent decades, much work has been done analyzing the dynamics of spatial networks; however, many challenges still remain in this field. First, the development of social media and transportation technologies has greatly reshaped the typologies of communications between different geographical regions. Second, the distance metrics used in spatial analysis should also be enriched with the underlyi... (more)
Created Date 2017
Contributor Wang, Feng (Author) / Maciejewski, Ross (Advisor) / Davulcu, Hasan (Committee member) / Grubesic, Anthony (Committee member) / Shakarian, Paulo (Committee member) / Arizona State University (Publisher)
Subject Computer science / Geography / Network / Visual Analytics / Visualization
Type Doctoral Dissertation
Extent 128 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Computer Science 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis