Shubham Gupta, & Craig A. Knoblock. (2010). Building geospatial mashups to visualize information for crisis management. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In time-sensitive environments such as disaster management, decision-making often requires rapidly gathering the information from diverse data sources and then visualizing the collected information to understand it. Thus, it is critical to reduce the overhead in data integration and visualization for efficient decision-making. Geospatial mashups can be an effective solution in such environments by providing an integrated approach to extract, integrate and view diverse information. Currently, mashup building tools exist for creating mashups, but none of them deal with the issue of data visualization. An improper visualization of the data could result in users wasting precious time to understand the data. In this paper, we introduce a programming-by-demonstration approach to data visualization in geospatial mashups that allows the users to customize the data visualization.
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Julio Camarero Puras, & Carlos A. Iglesias. (2009). Disasters2.0. Application of Web2.0 technologies in emergency situations. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This article presents a social approach for disaster management, based on a social portal, so-called Disasters2.0, which provides facilities for integrating and sharing user generated information about disasters. The architecture of Disasters2.0 is designed following REST principles and integrates external mashups, such as Google Maps. This architecture has been consumed with different clients, including a mobile client, a multiagent system for assisting in the decentralized management of disasters, and an expert system for automatic assignment of resources to disasters. As a result, the platform allows seamless collaboration of humans and intelligent agents, and provides a novel web2.0 approach for multiagent and disaster management research.
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Benjamin Schooley, Brian Hilton, Yoonmi Lee, Rondalynne McClintock, Samuel-Ojo Olusola, & Thomas Horan. (2010). CrashHelp: A GIS tool for managing emergency medical responses to motor vehicle crashes. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper presents the research, design, and development of a comprehensive trauma information system inclusive of 911dispatch, Emergency Medical Services, and hospital trauma information. A proof-of-concept GIS based information system was designed and developed for use by trauma and emergency medical practitioners. Methods used include end-user focus group discussions, quantitative and qualitative data analysis, and an iterative system development process. A framework from prior research was utilized; a framework that considers the visualization of emergency medical events across an end-to-end continuum of patient care. Analyses performed provided a multi-layered understanding of the practical and theoretical implications of using an end-to-end information schema for emergency response and trauma health systems.
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