A Tool for Visualization of Meteorological Data Studied for Integration in a Multi Risk Management System

  • Emanuele Cipolla
  • Riccardo Rizzo
  • Dario Stabile
  • Filippo VellaEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 55)


This paper presents a tool for visualization of meteorological data integrated in an application for management of a multi risk situation. As part of a much more complex and demanding visualization system, the tool was developed taking into account some constraints as the scarcity of screen space and processing power in the considered system. Due to these limitations the tool was developed as web application optimized for mobile devices and is capable to present time series data in a compact and effective visualization. The tool also can process the available data in order to detect exceptional events and to put them in the contest allowing a very fast visual analysis.


Mobile Device Time Series Data Emergency Management Visualization System Exceptional Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Sanders, R., Tabuchi, S., et al.: Decision support system for ood risk analysis for the river thames, united kingdom. Photogramm. Eng. Remote Sens. 66(10), 1185–1193 (2000)Google Scholar
  2. 2.
    Leskens, J.G., Kehl, C., Tutenel, T., Kol, T., de Haan, G., Stelling, G., Eise-mann, E.: An interactive simulation and visualization tool for ood analysis usable for practitioners. In: Mitigation and Adaptation Strategies for Global Change, pp. 1–18 (2015)Google Scholar
  3. 3.
    Onorati, T., Aedo, I., Romano, M., Daz, P.: Emergensys: Mobile technologies as support for emergency management. In: Caporarello, L., Di Martino, B., Martinez, M. (eds.) Smart Organizations and Smart Arti-facts, LNISO, vol. 7, pp. 37–45. Springer International Publishing (2014)Google Scholar
  4. 4.
    Luyten, K., Winters, F., Coninx, K., Naudts, D., Moerman, I.: A situation-aware mobile system to support_re brigades in emergency situations. In: Meersman, R., Tari, Z., Herrero, P. (eds.) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. LNCS, vol. 4278, pp. 1966–1975. Springer, Berlin (2006)CrossRefGoogle Scholar
  5. 5.
    Gmez, D., Bernardos, A., Portillo, J., Tarro, P., Casar, J.: A review on mobile applications for citizen emergency management. Highlights on Practical Applications of Agents and Multi-Agent Systems. Communications in Computer and Information Science, vol. 365, pp. 190–201. Springer, Berlin (2013)CrossRefGoogle Scholar
  6. 6.
    Nobrega, R., Sabino, A., Rodrigues, A., Correia, N.: Flood emergency interaction and visualization system. In: Visual 2008—Proceedings of the 10th International Conference on Visual Information Systems. LNCS, p. 09. Springer, Berlin (2008)Google Scholar
  7. 7.
    Can_os, J.H., Alonso, G., Ja_en, J.: A multimedia approach to the efficient implementation and use of emergency plans. MultiMed. IEEE 11(3), 106–110 (2004)CrossRefGoogle Scholar
  8. 8.
    Cipolla, E., Vella, F.: Identification of spatio-temporal outliers through minimum spanning tree. In: Tenth International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014, pp. 248–255. Marrakech, Morocco, 23–27 Nov 2014Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Emanuele Cipolla
    • 1
  • Riccardo Rizzo
    • 1
  • Dario Stabile
    • 1
  • Filippo Vella
    • 1
    Email author
  1. 1.Institute for High Performance Computing and Networking - ICAR, National Research Council of ItalyPalermoItaly

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