Article

Visualizing Hurricane Katrina: large data management, rendering and display challenges

Authors:

Shalini Venkataraman,

Werner Benger,

Amanda Long,

Byungil Jeong,

Luc RenambotAuthors Info & Claims

GRAPHITE '06: Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia

Pages 209 - 212

https://doi.org/10.1145/1174429.1174465

Published: 29 November 2006 Publication History

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Abstract

The onslaught of Hurricane Katrina has highlighted the need for effective information display. Visualization of geoscientific data faces challenges of size, integration and representation. Rendering methods need to cope with the surge of data due to advancements in acquisition techniques and computing power. Moreover, data stemming from different application communities are not compatible a-priori. Holistic representations are important to communicate the causes and impact of natural catastrophes to the scientists themselves, decision-makers and the general public. To address these issues, we have developed efficient data layout mechanisms to ensure fast and uniform access to diverse data. We apply effective rendering techniques that intuitively and interactively convey the phenomena. Finally, we discuss the use of high-resolution displays connected via high-speed networks to support collaboration. These components establish a framework for application in hurricane research, coastal modeling and beyond.

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Su XZhang MBai Q(2019)An Innovative Approach for Ad Hoc Network Establishment in Disaster Environments by the Deployment of Wireless Mobile AgentsACM Transactions on Autonomous and Adaptive Systems10.1145/333779513:4(1-22)Online publication date: 19-Jul-2019
https://dl.acm.org/doi/10.1145/3337795
Yan YPouyanfar STian HGuan SHa HChen SShyu MHamid S(2016)Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper)2016 IEEE 17th International Conference on Information Reuse and Integration (IRI)10.1109/IRI.2016.65(441-447)Online publication date: Jul-2016
https://doi.org/10.1109/IRI.2016.65
Benger WHeinzl RHildenbrand DWeinkauf TTheisel HTschumperlé D(2015)Differential Methods for Multi-dimensional Visual Data AnalysisHandbook of Mathematical Methods in Imaging10.1007/978-1-4939-0790-8_35(2099-2162)Online publication date: 2015
https://doi.org/10.1007/978-1-4939-0790-8_35
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GRAPHITE '06: Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia

November 2006

489 pages

ISBN:1595935649

DOI:10.1145/1174429

Conference Chairs:
Y. T. Lee
Nanyang Technological University, Singapore
,
Siti Mariyam Shamsuddin
Universiti Teknologi Malaysia, Malaysia
,
Program Chairs:
Diego Gutierrez
Universidad de Zaragoza, Spain
,
Norhaida Mohd Suaib
Universiti Teknologi Malaysia, Malaysia

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

New York, NY, United States

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Published: 29 November 2006

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GRAPHITE06: International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia 2006

November 29 - December 2, 2006

Kuala Lumpur, Malaysia

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Su XZhang MBai Q(2019)An Innovative Approach for Ad Hoc Network Establishment in Disaster Environments by the Deployment of Wireless Mobile AgentsACM Transactions on Autonomous and Adaptive Systems10.1145/333779513:4(1-22)Online publication date: 19-Jul-2019
https://dl.acm.org/doi/10.1145/3337795
Yan YPouyanfar STian HGuan SHa HChen SShyu MHamid S(2016)Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper)2016 IEEE 17th International Conference on Information Reuse and Integration (IRI)10.1109/IRI.2016.65(441-447)Online publication date: Jul-2016
https://doi.org/10.1109/IRI.2016.65
Benger WHeinzl RHildenbrand DWeinkauf TTheisel HTschumperlé D(2015)Differential Methods for Multi-dimensional Visual Data AnalysisHandbook of Mathematical Methods in Imaging10.1007/978-1-4939-0790-8_35(2099-2162)Online publication date: 2015
https://doi.org/10.1007/978-1-4939-0790-8_35
Benger WHeinzl RHildenbrand DWeinkauf TTheisel HTschumperlé D(2014)Differential Methods for Multidimensional Visual Data AnalysisHandbook of Mathematical Methods in Imaging10.1007/978-3-642-27795-5_35-5(1-56)Online publication date: 19-Nov-2014
https://doi.org/10.1007/978-3-642-27795-5_35-5
Pava JFleites FChen SZhang K(2011)Integrating Geographic and Meteorological Data for Storm Surge PlanningRecent Trends in Information Reuse and Integration10.1007/978-3-7091-0738-6_13(273-292)Online publication date: 20-Aug-2011
https://doi.org/10.1007/978-3-7091-0738-6_13
Benger WHeinzl RHildenbrand DWeinkauf TTheisel HTschumperlé D(2011)Differential Methods for Multi-Dimensional Visual Data AnalysisHandbook of Mathematical Methods in Imaging10.1007/978-0-387-92920-0_35(1533-1595)Online publication date: 2011
https://doi.org/10.1007/978-0-387-92920-0_35

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