Designing Adaptive Spatio-temporal Information Systems for Natural Hazard Risks with ASTIS

  • Bogdan Moisuc
  • Jérôme Gensel
  • Paule-Annick Davoine
  • Hervé Martin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4295)


This paper presents ASTIS, a framework for the design and generation of adaptive spatio-temporal information systems for the historical study of natural hazard risks. ASTIS is based on a modular architecture in which every module can be personalized by the designer in order to meet the needs of different kinds of users. Personalizations are performed through a model-driven approach, each module is generated from specific models, conceived by the designer. A data management module allows personalizing the content of the application via data viewpoint mechanisms. A presentation module allows designing personalized interactive visualizations. Finally, an adaptation module is in charge of performing the appropriate personalizations at runtime, in order to adapt both the content and the presentation of the information to the user characteristics.


Content Adaptation Presentation Module Regional Planner Temporal Frame Irrelevant Object 
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.


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  1. 1.
    Anegg, H., Kunczier, H., Michlmayr, E., Pospischil, G., Umlauft, M.: LoL@: Designing a Location Based UMTS Application, ÖVE-Verbandszeitschrift e&i. Springer, Heidelberg (2002)Google Scholar
  2. 2.
    Buja, A., McDonald, J.A., Michalak, J., Stuetzle, W.: Interactive data visualization using focusing and linking. In: Proc. of the 2nd Conference on Visualization 1991 (1991)Google Scholar
  3. 3.
    Dykes, J.: Exploring spatial data representation with dynamic graphics. Computers & Geosciences 23(4), 345–370 (1997)CrossRefGoogle Scholar
  4. 4.
    Kobsa, A., Koenemann, J., Pohl, W.: Personalized Hypermedia Presentation Techniques for Improving Online Customer Relationships. The Knowledge Engineering Review 16(2), 111–155 (2001)MATHCrossRefGoogle Scholar
  5. 5.
    MacEachren, A.M.: VISUALIZATION - Cartography for the 21st century. In: 7th Annual Conference of Polish Spatial Information Association, Warsaw, Poland, pp. 287–296 (1998)Google Scholar
  6. 6.
    MacEachren, A.M., Boscoe, F.P., Haug, D., Pickle, L.W.: Geographic Visualization: Designing Manipulable Maps for Exploring Temporally Varying Georeferenced Statistics. In: Proc. Infovis (1998)Google Scholar
  7. 7.
    MacEachren, A.M., Howard, D., von Wyss, M., Askov, D., Taormino, T.: Visualizing the health of Chesapeake Bay: An uncertain endeavor. In: Proc. GIS/LIS 1993, Minneapolis, November 2-4, pp. 449–458 (1993)Google Scholar
  8. 8.
    Moisuc, B., Davoine, P.-A., Gensel, J., Martin, H.: Design of Spatio-Temporal Information Systems for Natural Risk Management with an Object-Based Knowledge Representation Approach. Geomatica 59(4) (2005)Google Scholar
  9. 9.
    Monmonier, M.: Geographic brushing: Enhancing exploratory analysis of the scatterplot matrix. Geographical Analysis 21(1), 81–84 (1989)CrossRefGoogle Scholar
  10. 10.
    Nivala, A.-M., Sarjakoski, L.T.: Preventing Interruptions in Mobile Map Reading Process by Personalisation. In: The 3rd Workshop on HCI in Mobile Guides, in adjunction to: MobileHCI 2004, 6th International Conference on Human Computer Interaction with Mobile Devices and Services, Glasgow, Scotland, September 13-16, 2004, p. 6 (2004)Google Scholar
  11. 11.
    Page, M., Gensel, J., Capponi, C., Bruley, C., Genoud, P., Ziebelin, D., Bardou, D., Dupierris, V.: A New Approach to Object-Based Knowledge Representation: the AROM System. LNCS (LNAI) (2001)Google Scholar
  12. 12.
    Parent, C., Spaccapietra, S., Zimanyi, E.: Spatio-Temporal Conceptual Models: Data Structures + Spatial + Time. In: Proc. ACM GIS, pp. 26–33 (1999)Google Scholar
  13. 13.
    Schwinger, W.: Grün, Ch., Pröll, B., Retschitzegger, W., Schauerhuber, A.: Context-awareness in Mobile Tourism Guides - A Comprehensive Survey, Technical Report (2005)Google Scholar
  14. 14.
    Sester, M., Brenner, C.: Continuous Generalization for Fast and Smooth Visualization on Small Displays. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXV (B4:IV), pp. 1293–1298 (2004)Google Scholar
  15. 15.
    Teraoka, T., Maruyama, M.: Adaptive information visualization based on the user’s multiple viewpoints-interactive 3D visualization of the WWW. In: Proc. INFOVIS (1997)Google Scholar
  16. 16.
    Tufte, E.: The Visual Display of Quantitative Information. Graphics Press, Cheshire (1983)Google Scholar
  17. 17.
    Woodruff, A., Landay, J., Stonebraker, M.: Constant Information Density in Zoomable Interfaces. In: Proc AVI 1998, L’Aquila, Italy (1998)Google Scholar
  18. 18.
    Zipf, A.: User-Adaptive Maps for Location-Based Services (LBS) for Tourism. In: Proc. ENTER 2002. Springer, Heidelberg (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bogdan Moisuc
    • 1
  • Jérôme Gensel
    • 1
  • Paule-Annick Davoine
    • 1
  • Hervé Martin
    • 1
  1. 1.LSR-IMAG LaboratoryDomaine UniversitaireSaint-Martin d’HèresFrance

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