Visual analytics of topological higher order information for emergency management based on tourism trajectory datasets

Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2014) Visual analytics of topological higher order information for emergency management based on tourism trajectory datasets. In: Procedia Computer Science (29) pp. 683-691. From: ICCS 2014: International Conference on Computational Science, 10-12 June 2014, Cairns, QLD, Australia.

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Abstract

Trajectory datasets have presented new opportunities for spatial computing applications and geo-informatics technologies with regard to emergency management. Existing research of trajectory analysis and data mining mainly employs algorithmic approaches and analyzing geometric information of trajectories. This study presents an efficient analytics tool based on visualization approaches for analyzing large volume of trajectory datasets. This approach is particularly useful for emergency management when critical decisions based on semantic information are needed. Tourism trajectory datasets are used to demonstrate the proposed approach.

Item ID: 34469
Item Type: Conference Item (Research - E1)
ISSN: 1877-0509
Keywords: higher order information; visual analytics; Voronoi diagram; emergency management
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Date Deposited: 19 Aug 2014 03:18
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 100%
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