Visual exploration of global trade networks with time-dependent and weighted 
hierarchical edge bundles on GPU

Hofmann, J.; Größler, M.; Rubio-Sanchez, M.; Pichler, Peter-Paul; Lehmann, D. J.

doi:10.1111/cgf.13186

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Visual exploration of global trade networks with time-dependent and weighted hierarchical edge bundles on GPU

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Hofmann, J.
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Größler, M.
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Rubio-Sanchez, M.
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Pichler, Peter-Paul
Potsdam Institute for Climate Impact Research;

Lehmann, D. J.
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Citation

Hofmann, J., Größler, M., Rubio-Sanchez, M., Pichler, P.-P., Lehmann, D. J. (2017): Visual exploration of global trade networks with time-dependent and weighted hierarchical edge bundles on GPU. - Computer Graphics Forum, 36, 3, 273-282.
https://doi.org/10.1111/cgf.13186

Cite as: https://publications.pik-potsdam.de/pubman/item/item_21744

Abstract

The 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.