Visual Exploration of Global Trade Networks with Time-Dependent and Weighted Hierarchical Edge Bundles on GPU

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dc.contributor.authorHofmann, Johannesen_US
dc.contributor.authorGrößler, Michaelen_US
dc.contributor.authorRubio-Sánchez, Manuelen_US
dc.contributor.authorPichler, Peter-Paulen_US
dc.contributor.authorLehmann, Dirk J.en_US
dc.contributor.editorHeer, Jeffrey and Ropinski, Timo and van Wijk, Jarkeen_US
dc.date.accessioned2017-06-12T05:22:41Z
dc.date.available2017-06-12T05:22:41Z
dc.date.issued2017
dc.description.abstractThe UN Comtrade database is the world's largest repository of bilateral trade data. Their complexity poses a challenge to visualization systems, leading to issues such as scalability and visual clutter. Thus, we propose a radial layout-based visual exploration system to enable the user to smoothly explore the change over time and to explore different commodity classes at once by using a novel edge bundling concept. We evaluated our system with the aid of a group of domain experts.en_US
dc.description.number3
dc.description.sectionheadersGraph Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13186
dc.identifier.issn1467-8659
dc.identifier.pages273-282
dc.identifier.urihttps://doi.org/10.1111/cgf.13186
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13186
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectGraphs and Networks
dc.subjectHierarchy Data
dc.subjectTime Series Data
dc.subjectGPUs and Multi
dc.subjectcore Architectures
dc.titleVisual Exploration of Global Trade Networks with Time-Dependent and Weighted Hierarchical Edge Bundles on GPUen_US
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