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Visual Analytics and the Impact of Inter-Country Trade on Violence

Description
Global violent conflict has become an increasing problem in recent decades, especially in the African continent. Civil wars, terrorism, riots, and political violence has wrought havoc not only on civilian lives, but also on economic foundations. Trade networks are a way to measure these economic foundations. To summarize trade networks…

Global violent conflict has become an increasing problem in recent decades, especially in the African continent. Civil wars, terrorism, riots, and political violence has wrought havoc not only on civilian lives, but also on economic foundations. Trade networks are a way to measure these economic foundations. To summarize trade networks clustering coefficient as well as trade quantity/value summation measures are used. To understand effects of global trade on violent conflict, Pearson product-moment correlations are utilized. This work details a comparison of African national economies and violent conflict events using clustering coefficient, trade summation measures and Pearson correlation coefficient.
ContributorsKadambi, Sagarika Sanjay (Author) / Maciejewski, Ross (Thesis director) / Shutters, Shade (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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A Visual Analytics Process for Exploring Risk and Vulnerability in International Food Trade Networks

Description
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…

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 developed an interactive data visualization platform for analysis of the interaction between climate events and the trade network. The proposed visual analytics system focuses on visualizing current trade dependencies at a more granular level than the currently available tools and to aid in the identification of future vulnerabilities. To demonstrate the applicability of the tool, two case studies are described. The first case study focuses on the Chinese drought of 2011 and its impact on the global trade network and food security. The second case study will model the potential impact of a climate event affecting production in the United States, a large supplier of corn, to demonstrate the potential consequence of cascading effects in the global trade network.
ContributorsSeville, Travis Allen (Author) / Maciejewski, Ross (Thesis advisor) / Hsiao, I-Han (Committee member) / Shutters, Shade (Committee member) / Arizona State University (Publisher)
Created2017