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Abstract

Conventional GIS data models emphasize static representation of real world Geographic features. There are several real world problems where this assumption is not valid. For example the boundary of a lake changes with time depending on the inflow due to rains. The feature’s geometry, its attributes and the topology with respect to its adjacent features are temporal. Current models used in commercial GIS do not support efficient persistence of the temporal history, provide temporal queries and deal with time variant topological changes. Study of current spatio-temporal models has been done and suitable techniques to enhance current spatial models with temporal aspects without breaking existing functionality has been explored. Moving object data model and its variations have been found to be an appropriate candidate for such enhancement. This paper describes the extension of spatial data model and its schema of a commercial GIS tool for supporting moving object data and creation of typical temporal analysis and query commands.

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References

  1. Pelekis, N., Theodoulidis, B., Kopanakis, I., Theodoridis, Y.: Literature Review of Spatio-Temporal Database Models. Knowledge Engineering Review 19(3), 235–274 (2004)

    Article  Google Scholar 

  2. Erwig, M., Guting, R.H., Schneider, M., Vazirgiannis, M.: Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases. GeoInformatica 3(3), 265–291 (1999)

    Article  Google Scholar 

  3. Guting, R.H., Bohlen, M.H., Erwig, M., Jensen, C.S., Lorentzos, N.A., Schneider, M., Vazirgiannis, M.: A Foundation for Representing and Querying Moving Objects. ACM Transactions on Database Systems 25(1), 1–42 (2000)

    Article  Google Scholar 

  4. Langran, G., Chrisman, N.R.: A Framework for Temporal Geographic Information Systems. Cartographica 25(3), 1–14 (1988)

    Article  Google Scholar 

  5. GeoMedia® Professional developers’ and users’ help documents

    Google Scholar 

  6. TGML - Extending GML by Temporal Constructs - A Proposal for a Spatiotemporal Framework in XML

    Google Scholar 

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Murti, K.C.S., Agarwal, V. (2012). Adapting Temporal Aspects to Static GIS Models. In: Meghanathan, N., Chaki, N., Nagamalai, D. (eds) Advances in Computer Science and Information Technology. Computer Science and Engineering. CCSIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27308-7_46

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  • DOI: https://doi.org/10.1007/978-3-642-27308-7_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27307-0

  • Online ISBN: 978-3-642-27308-7

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