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Author (up) Aaron Burgman; Nikhil Kalghatgi; Erika Darling; Chris M. Newbern; Kristine Recktenwald; Shawn Chin; Howard Kong pdf  isbn
openurl 
  Title Emergency data analysis via semantic lensing Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 334-338  
  Keywords Information systems; Semantics; Analysis; Completion time; Decision makers; Emergency preparedness and response; Emergency situation; Filtering strategies; Information visualization; Mapping softwares; Emergency services  
  Abstract Emergency situations often play out over extended geographic regions and can present response personnel with numerous types of data at various level of detail. Such data may be displayed in mapping software tools that organize the data into layers. Sufficiently complex scenarios can result in dense, occluded, and cluttered map displays. We investigated a localized, detail-on-demand filtering strategy called semantic lensing that in certain situations provides a more efficient and desirable approach than filtering global layers for mitigating clutter and occlusion. An initial formal user study with these semantic lenses has shown their value in aiding decision makers during tasks that might occur during detection of and response to emergency situations. Completion times are significantly faster when using lenses, and workloads are significantly lower. Future work will evaluate additional features and task-specific applicability, and may support the distribution of such a lens tool to emergency preparedness and response personnel.  
  Address MITRE Corporation, United States  
  Corporate Author Thesis  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track VISUALIZATION IN EMERGENCY MANAGEMENT Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 352  
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Author (up) Brian M. Tomaszewski; Alan M. MacEachren pdf  isbn
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  Title A distributed spatiotemporal cognition approach to visualization in support of coordinated group activity Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 347-351  
  Keywords Disaster prevention; Information systems; Web services; Distributed cognition; Geo visualizations; Geocollaboration; International Relief; Spatiotemporal Cognition; Web-map services; Geographic information systems  
  Abstract Technological advances in both distributed cooperative work and web-map services have the potential to support distributed and collaborative time-critical decision-making for crisis response. We address this potential through the theoretical perspective of distributed cognition and apply this perspective to development of a geocollaborationenabled web application that supports coordinated crisis management activities. An underlying goal of our overall research program is to understand how distributed cognition operates across groups working to develop both awareness of the geographic situation within which events unfold, and insights about the processes that have lead to that geographic situation over time. In this paper, we present our preliminary research on a web application that addresses these issues. Specifically, the application (key parts of which are implemented) enables online, asynchronous, map-based interaction between actors, thus supporting distributed spatial and temporal cognition, and, more specifically, situational awareness and subsequent action in the context of humanitarian disaster relief efforts.  
  Address Department of Geography, GeoVISTA Center, Pennsylvania State University, United States  
  Corporate Author Thesis  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track VISUALIZATION IN EMERGENCY MANAGEMENT Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1010  
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Author (up) Tom Ritchey pdf  isbn
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  Title Modeling multi-hazard disaster reduction strategies with computer-Aided morphological analysis Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 339-346  
  Keywords Disaster prevention; Disasters; Information systems; Linguistics; Morphology; Risk assessment; Disaster reduction; Disaster reduction strategy; Engineering science; Knowledge and experience; Mitigation measures; Morphological analysis; Multidimensional problems; Proof of principles; Hazards  
  Abstract Disaster Risk Management (DRM) is a multi-dimensional problem complex requiring knowledge and experience from a wide range of disciplines. It also requires a methodology which can collate and organize this knowledge in an effective, transparent manner. Towards this end, seven specialists from the social, natural and engineering sciences collaborated in a facilitated workshop in order to develop a prototype multi-hazard disaster reduction model. The model, developed with computer-Aided morphological analysis (MA), makes it possible to identify and compare risk reduction strategies, and preparedness and mitigation measures, for different types of hazards. Due to time constraints, the model is neither complete nor accurate-but only represents a proof-of-principle. The workshop was sponsored by the Earthquake Disaster Mitigation Research Center (EDM) in Kobe, in January, 2005.  
  Address Swedish Defense Research Agency, Sweden  
  Corporate Author Thesis  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track VISUALIZATION IN EMERGENCY MANAGEMENT Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 879  
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