Visual analytical tools for multivariate higher order information for emergency management

Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2020) Visual analytical tools for multivariate higher order information for emergency management. Journal of Visualization, 23. pp. 721-743.

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DOI: 10.1007%2Fs12650-020-00645-y
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Higher order information of moving objects is of great importance for processing in-case scenarios in emergency management. Multivariate higher order information management is a crucial key to the success of emergency management since emergency management involves developing plans with a given set of multiple resources. Past studies focus on univariate higher order information limiting the scope of applicability and usability. This paper proposes a set of visual analytical approaches supporting multivariate higher order information for dynamically moving disasters. We introduce a robust Voronoi based data structure supporting multivariate datasets and dynamic disasters, and propose visual analytical approaches for effective emergency management. The proposed visual analytical suite facilitates interactivity and enables users to explore in-case scenarios with multivarite datasets and dynamic disasters. A case study with real datasets is given to explain the applicability, usability and practicability of the proposed system.

Item ID: 63912
Item Type: Article (Research - C1)
ISSN: 1875-8975
Copyright Information: (C) The Visualization Society of Japan 2020
Date Deposited: 06 Aug 2020 04:09
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460502 Data mining and knowledge discovery @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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