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A Visual Analytics Process for Exploring Risk and Vulnerability in International Food Trade Networks

Abstract The rise in globalization has led to regional climate events having an increased effect on global food security. These indirect first- and second-order effects are generally geographically disparate from the region experiencing the climate event. Without understanding the topology of the food trade network, international aid may be naively directed to the countries directly experiencing the climate event and not to countries that will face potential food insecurity due to that event. This thesis focuses on the development of a visual analytics system for exploring second-order effects of climate change under the lens of global trade. In order to visualize how climate change impacts the world trade network of agricultural goods I have develo... (more)
Created Date 2017
Contributor Seville, Travis Allen (Author) / Maciejewski, Ross (Advisor) / Hsiao, I-Han (Committee member) / Shutters, Shade (Committee member) / Arizona State University (Publisher)
Subject Computer science
Type Masters Thesis
Extent 64 pages
Language English
Reuse Permissions All Rights Reserved
Note Masters Thesis Computer Science 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis