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2016 IEEE 15th International Symposium on Network Computing and Applications (NCA) (2016)
Cambridge, Boston, MA, USA
Oct. 31, 2016 to Nov. 2, 2016
ISBN: 978-1-5090-3217-4
pp: 22-26
Ev Cheng , Department of Computer Science, Vassar College, NY, United States of America
Kourtney Meiss , Department of Computer Science, Wofford College, SC, United States of America
Kendall Park , Department of Computer Science, University of Missouri-Columbia, United States of America
John Gillis , Department of Computer Science, University of Missouri-Columbia, United States of America
Dave Weber , Missouri Task Force 1, United States of America
Salman Ahmad , Department of Computer Science, University of Missouri-Columbia, United States of America
Prasad Calyam , Department of Computer Science, University of Missouri-Columbia, United States of America
ABSTRACT
Real-time geovisualization of disaster scenes provides visual situational awareness, which could decrease medical triage time, and also allows first responders to better allocate relief resources. In this paper, we describe a novel contextual geotracking service that provides spatiotemporal visualization of response history through the use of mobile devices and a wireless mesh network. During crisis response, with limited resources in a high-stress disaster relief environment, contextual data visualization of disaster incident scene status markers, and their presentation in a usable dashboard is crucial. We present novel visualization tools that we have developed to integrate custom map markers, tracking information collected through a wireless network, geovisualization over time through gradients, and spatiotemporal event filters. We evaluate our geotracking service in a field trial with a search-and-rescue task force comprising of professional first responders.We show effectiveness of our service in terms of data entry time, usability survey, and qualitative feedback within a disaster response simulation experiment.
INDEX TERMS
Data visualization, Spatiotemporal phenomena, Integrated circuits, Real-time systems, Visualization, Global Positioning System, Image color analysis
CITATION

E. Cheng et al., "Contextual geotracking service of incident markers in disaster search-and-rescue operations," 2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), Cambridge, Boston, MA, USA, 2016, pp. 22-26.
doi:10.1109/NCA.2016.7778586
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