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GPU based graph bundling using geographic reference information

Published: 21 July 2013 Publication History

Abstract

A common source of challenges in geographic visualisation systems is the growing amount of available data. Datasets containing different information need to be merged and analysed under a common context. For some purposes these datasets can interact intelligently and append additional information to a scientific visualisation. In this research proposal, we show how we are planning to optimize the process of bundling graphs to traffic networks and present a general method to solve this challenge.

References

[1]
Holten, D., and van Wijk, J. J. 2009. Force-directed edge bundling for graph visualization. Computer Graphics Forum 28, 3, 983--990.
[2]
Holten, D. 2006. Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data. IEEE Transactions on Visualization and Computer Graphics 12, 5 (sept.-oct.), 741--748.
[3]
Lambert, A., Bourqui, R., and Auber, D. 2010. Winding roads: Routing edges into bundles. Computer Graphics Forum 29, 3, 853--862.

Cited By

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  • (2014)A scalable approach to extracting mobility patterns from social media data2014 22nd International Conference on Geoinformatics10.1109/GEOINFORMATICS.2014.6950845(1-6)Online publication date: Jun-2014
  • (2014)General Transit Feed Specification data visualization2014 22nd International Conference on Geoinformatics10.1109/GEOINFORMATICS.2014.6950839(1-6)Online publication date: Jun-2014

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cover image ACM Conferences
SIGGRAPH '13: ACM SIGGRAPH 2013 Posters
July 2013
115 pages
ISBN:9781450323420
DOI:10.1145/2503385
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 21 July 2013

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Cited By

View all
  • (2014)A scalable approach to extracting mobility patterns from social media data2014 22nd International Conference on Geoinformatics10.1109/GEOINFORMATICS.2014.6950845(1-6)Online publication date: Jun-2014
  • (2014)General Transit Feed Specification data visualization2014 22nd International Conference on Geoinformatics10.1109/GEOINFORMATICS.2014.6950839(1-6)Online publication date: Jun-2014

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