Abstract
Climate change has serious implications on our environment. Examples of such natural risks are massive rainfalls and the rise of ocean levels. Millions of people are exposed to the risk of extreme floods and storms. It is therefore crucial to develop analytical tools that allow us to evaluate the threats of floods and to investigate the influence of mitigation and adaptation measures, such as stronger dikes, adaptive spatial planning, and flood disaster plans. The objective of our work is to present a flood management system that aims to model and visualize floods. It provides realistic images to help users in understanding and interpreting these disaster scenarios. In order to investigate the applicability in practice, we illustrated the use of our system for real-world data in a case study for the city of Paris, France.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andrienko, G., Andrienko, N., Demsar, U., Dransch, D., Dykes, J., Fabrikant, S.I., Jern, M., Kraak, M.J., Schumann, H., Tominski, C.: Space, time and visual analytics. Int. J. Geogr. Inf. Sci. 24(10), 1577–1600 (2010)
Bach, B., Dachselt, R., Carpendale, S., Dwyer, T., Collins, C., Lee, B.: Immersive analytics: exploring future interaction and visualization technologies for data analytics. In: Proceedings of the 2016 ACM on Interactive Surfaces and Spaces, pp. 529–533. ACM (2016)
Bailey, K.D.: Typologies and Taxonomies: An Introduction to Classification Techniques, vol. 102. Sage, Thousand Oaks (1994)
Bomphrey, R.J.: Insects in flight: direct visualization and ow measurements. Bioinspiration Biomim. 1(4), S1 (2006)
Chen, Z., Wang, Y., Sun, T., Gao, X., Chen, W., Pan, Z., Qu, H., Wu, Y.: Exploring the design space of immersive urban analytics. Vis. Inf. 1(2), 132–142 (2017)
Damiani, M., Issa, H., et al.: Moving objects beyond raw and semantic trajectories. In: International Workshop on Information Management for Mobile Applications (IMMoA 2013), vol. 1075, p. 4. CEUR (2013)
Henry, N.J.: A cost-effective workflow for depicting landscapes in immersive virtual environments. In: Ahlqvist, O., Schlieder, C. (eds.) Geogames and Geoplay, pp. 177–194. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-22774-0_9
Hu, Y., et al.: A geo-ontology design pattern for semantic trajectories. In: Tenbrink, T., Stell, J., Galton, A., Wood, Z. (eds.) COSIT 2013. LNCS, vol. 8116, pp. 438–456. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-01790-7_24
Hussain, T.S., Roberts, B., Menaker, E.S., Coleman, S.L., Centreville, V.A., Pounds, K., Bowers, C., Cannon-Bowers, J.A., Koenig, A., Wainess, R., et al.: Designing and developing effective training games for the US Navy. M&S J. 27 (2012)
Inmon, W.-H.: Building the Data Warehouse, 3rd edn. Wiley, New York (2002)
Javed, W., Elmqvist, N.: Exploring the design space of composite visualization. In: 2012 IEEE Pacific Visualization Symposium (PacificVis), pp. 1–8. IEEE (2012)
Layouni, O., Akaichi, J.: A Conceptual UML Profile for Modeling Fuzzy Trajectory Data: An Ambulance Use Case (2016)
Leskens, J.G., Kehl, C., Tutenel, T., Kol, T., De Haan, G., Stelling, G., Eisemann, E.: An interactive simulation and visualization tool for flood analysis usable for practitioners. Mitig. Adapt. Strat. Glob. Change 22(2), 307–324 (2017)
Manaa, M., Akaichi, J.: Ontology-based modeling and querying of trajectory data. Data Knowl. Eng. 111, 58–72 (2017)
Marketos, G.: Data warehousing & mining techniques for moving object databases. Ph.D. thesis. Department of Informatics, University of Piraeus (2009)
Massaâbi, M., Layouni, O., Zekri, A., Aljeaid, M., Akaichi, J.: Regions trajectories data: evolution of modeling and construction methods. In: De Pietro, G., Gallo, L., Howlett, R.J., Jain, L.C. (eds.) KES-IIMSS 2017. SIST, vol. 76, pp. 343–352. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-59480-4_34
Milgram, P., Kishino, F.: A taxonomy of mixed reality visual displays. IEICE Trans. Inf. Syst. 77(12), 1321–1329 (1994)
Munzner, T.: Process and pitfalls in writing information visualization research papers. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 134–153. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-70956-5_6
Nguyen, H., Wang, F., Williams, R., Engelke, U., Kruger, A., de Souza, P.: Immersive Visual Analysis of Insect Flight Behaviour (2017)
Reyes, M.E.P., Chen, S.-C.: A 3D virtual environment for storm surge flooding animation. In: 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), pp. 244–245. IEEE (2017)
Wolfson, O., Sistla, P., Xu, B., Zhou, J., Chamberlain, S.: DOMINO: databases for moving objects tracking. In: ACM SIGMOD (1999)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Massaâbi, M., Layouni, O., Oueslati, W.B.M., Alahmari, F. (2018). An Immersive System for 3D Floods Visualization and Analysis. In: Beck, D., et al. Immersive Learning Research Network. iLRN 2018. Communications in Computer and Information Science, vol 840. Springer, Cham. https://doi.org/10.1007/978-3-319-93596-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-93596-6_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93595-9
Online ISBN: 978-3-319-93596-6
eBook Packages: Computer ScienceComputer Science (R0)