Spatio-Temporal Databases: From Moving to Active Geographic Objects

  • R. Laurini
Part of the International Centre for Mechanical Sciences book series (CISM, volume 365)


Several geomatic applications require to use three dimensional and temporal information. Existing Geographic Information Systems do not allow to correctly deal with those characteristics.

In this paper, we emphasise that a GIS will not also store historical information, but also some other types of spatio-temporal data such as for real time geographic applications and for simulations. In other words, only the attributes are evolving during time, but also positions and shapes. So, geographic objects can have trajectories and deform themselves along time. In addition, some applications need active spatio-temporal objects, that is to say objects having a programmed behaviour in order to influence their own environment.

We finish by stressing that certain geographic phenomena governed either by finite-state automata or differential equations require special database structures.


Geographic Information System Active Object Temporal Database Geographic Object Very Large Data Base 
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. Amghar Y., Flory A.: Modélisation de systèmes d’information au travers du concept d’objet actif Revue d’Ingénierie des Systèmes d’Information, Vol. 2, n°3, p 293–315, 1994.Google Scholar
  2. Chabal E.: Gestion de projets en génie civil urbain et bases de donnnées actives. Mémoire de DEA. June 1995. 90 pGoogle Scholar
  3. Collet C., Coupaye T, Svensen T.: NAOS: Efficient and modula reactive capabilities in an object-oriented database system, Proceedings of the 20th Very Large Data Bases (VLDB) Conference Santiago, Chile, 12 p, 1994.Google Scholar
  4. Jensen CS, Clifford J., Gadia SK, Segev A., Snodgrass RT: A Glossary of Temporal Database Concepts. ACM SIGMOD Record, Vol 21, 3, September 1992, pp 35–43.CrossRefGoogle Scholar
  5. Kettal E.:. Expert Spatial Knowledge: an Expert Geographical Information System in Diffusion of Water. Proceedings of the 5th International Conference DEXA, Athens, Grèce, September 7–9, 1994. Edited by Springer-Verlag by D. Karagiannis (LNCS 856), pp 453–464.Google Scholar
  6. Laurini R.: Manipulation of Spatial Objects by a Peano Tuple Algebra. Computer Vision Laboratory Technical Report, University of Maryland CAR-TR 311, July 1987. 34p.Google Scholar
  7. Laurini R., Thompson D.: Fundamentals of Spatial Information Systems. Academic Press. 1992. 680 p.Google Scholar
  8. Lemoigne JL: La Théorie du Système Général, Théorie de la Modélisation. Presses Universitaires de France. 1977.Google Scholar
  9. Li KJ., Badji N., Laurini R.: Objets mobiles: Vers les bases de données spatio-temporelles. Sèmes Journées Bases de Données Avancées. Trégastel, 15–18 Septembre 1992, pp 102–120. Edited by INRIA, Rocquencourt, France.Google Scholar
  10. Samet H.: The Design and Analysis of spatial Data Structures. Addison-Wesley, 1989.Google Scholar
  11. Sistla AP, Wolfson O: Temporal Triggers in Active Databases. IEEE Transactions on Knowledge and Data Engineering. Vol 7, 3 pp 471–486. June 1995.CrossRefMathSciNetGoogle Scholar
  12. Soo MD: Bibliography on Temporal Databases. ACM SIGMOD Record, Vol 20,1 March 1991 pp 14–23.Google Scholar
  13. Yeh TS, de Cambray B: A Model for the Management of Highly Variable Spatio-temporal Data. Joint European Conference on Geographical Information (JEC-GI), The Hague, March 26–31, 1995. Volume 1 pp 126–131.Google Scholar

Copyright information

© Springer-Verlag Wien 1996

Authors and Affiliations

  • R. Laurini
    • 1
  1. 1.University C. Bernard Lyon IVilleurbanneFrance

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