Abstract
During an emergency situation, decision makers are faced with the problem to quickly analyze large amounts of data related to the involved geographical area in order to grasp a comprehensive overview of the scenario of interest and manage the response activities. The success of those activities heavily depends on the availability of tools which allow them to extract and adequately represent relevant and timely information out of huge sets of (georeferenced) data. During the last 15 years researchers have long strived to define geovisual analytics methods and techniques, which support decision making in time-critical emergency response activities, such as evacuation planning and management. Such methods allow domain experts to visualize the status of the crisis, plan the evacuation and address people towards vacancies in emergency shelters. However, several issues remain to be addressed especially related to the need to make quick decisions in case of emergency scenarios which evolve differently from what one was expecting and from the devised emergency management plan. The research we are carrying out is meant to define an innovative paradigm for human-(geo)information discourse, which could expedite the analysis activities needed to make decisions on crisis management actions. The integrated visual system we describe in the paper allows domain experts, decision makers and any other emergency operator to analyze qualitative data about a geographical area, which may change vigorously with respect to both time and space and whose size represents a critical factor in the efficiency of management activities.
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References
Aedo, I., DÃaz, P., Carroll, J.M., Convertino, G., Rosson, M.B.: End-user oriented strategies to facilitate multi-organizational adoption of emergency management information systems. J. Inf. Process. Manag. Int. 46(1), 11–21 (2010)
Andrienko, N., Andrienko, G., Jankowski, P.: Map-centred exploratory approach to multiple criteria spatial decision-making. Int. J. Geogr. Inf. Sci. 15(2), 101–127 (2001)
Andrienko, G., Andrienko, N., Bartling, U.: Visual analytics approach to user-controlled evacuation scheduling. Inf. Vis. 7(1), 89–103 (2008)
Doshi, P., Rundensteiner, E., Ward, M., Yang, J., XmdvTool: visual interactive data exploration and trend discovery of high-dimensional data sets. In: Proceedings of ACM SIGMOD 2002 (2002)
Ginige, A., Paolino, L., Romano, M., Sebillo, M., Tortora, G., Vitiello, G.: Information sharing among disaster responders - an interactive spreadsheet-based collaboration approach. Comput. Support. Coop. Work (CSCW) 23(4–6), 547–583 (2014). ISSN 0925-9724
OpenStreetMap. www.openstreetmap.org
Paolino, L., Sebillo, M., Tortora, G., Vitiello, G.: Framy – visualizing spatial query results on mobile interfaces. In: Ware, J., Taylor, G.E. (eds.) W2GIS 2007. LNCS, vol. 4857, pp. 175–186. Springer, Heidelberg (2007). doi:10.1007/978-3-540-76925-5_13
Paolino, L., Sebillo, M., Tortora, G., Vitiello, G.: Framy: visualizing geographic data on mobile interfaces. J. Location Based Serv. 2(3), 236–252 (2008). doi:10.1080/17489720802487949. ISSN 1748–9725, Print/ISSN 1748–9733. Taylor & Francis
Paolino, L., Romano, M., Sebillo, M., Vitiello, G.: Supporting the on site emergency management through a visualization technique for mobile devices. J. Location Based Serv. 4(03–04), 222–239 (2010). doi:10.1080/17489725.2010. Taylor and Francis Group Ltd.
Rosson, M.B., Carroll, J.M.: The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications. Lawrence Erlbaum Associates Inc., Mahwah (2002)
Sebillo, M., Vitiello, G., Paolino, L., Ginige, A.: Training emergency responders through augmented reality mobile interfaces. Multimedia Tools Appl. 75, 9609–9622 (2016). doi:10.1007/s11042-015-2955-0. Springer Science + Business Media, New York
3DGis: Sirio (2016). www.3dgis.it. Accessed May 2016
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Sebillo, M., Tucci, M., Vitiello, G. (2016). Visual Synthesis of Evolutionary Emergency Scenarios. In: DÃaz, P., Bellamine Ben Saoud, N., Dugdale, J., Hanachi, C. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2016. Lecture Notes in Business Information Processing, vol 265. Springer, Cham. https://doi.org/10.1007/978-3-319-47093-1_8
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DOI: https://doi.org/10.1007/978-3-319-47093-1_8
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