Advertisement

A Spatiotemporal Database Prototype for Managing Volumetric Surface Movement Data in Virtual GIS

  • Mohd Shafry Mohd Rahim
  • Abdul Rashid Mohamed Shariff
  • Shattri Mansor
  • Ahmad Rodzi Mahmud
  • Daut Daman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4707)

Abstract

Virtual GIS have the capability to present geographic features in three-dimension. This will contribute to increasing user understanding of phenomena that occurred in certain areas. Virtual GIS need to include temporal element in the system for managing dynamic phenomena to simulate real process. Spatiotemporal database system can be used to manage temporal data or spatial data that involve changes. In this paper, we present the database system of a spatiotemporal database prototype for managing volumetric surface movement; Volumetric Surface Movement Spatiotemporal Data Model that has the ability to store changes of the surface data of a three dimensional object. Formalization of the surface movement phenomena on the volumetric object were defined. This model has been implemented using relational database model which store only the changing points in order to ensure an efficient data management. We have developed a visualization tool with the database system to visualize movement on the surface. The prototype system of this model has been tested and found to be efficient.

Keywords

Spatiotemporal Data Model Database Surface Movement Temporal GIS Virtual GIS 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Yuan, M., Mark, D.M., Egenhofer, M.J., Peuquet, D.J.: Extensions to Geographic Representations (ch. 5). In: McMaster, R.B., Usery, E.L. (eds.) A Research Agenda for Geographic Information Science, pp. 129–156. CRC Press, Boca Raton (2004)Google Scholar
  2. 2.
    Nadi, S., Delavar, M.R.: Spatio-Temporal Modeling of Dynamic Phenomena in GIS. In: Proceeding of ScanGIS 2003, pp. 215–225 (2003)Google Scholar
  3. 3.
    Rahim, M.S.M, Shariff, A.R.M, Mansor, S., Mahmud, A.R.: A Review on Spatiotemporal Data Model for Managing Data Movement in Geographical Information Systems (GIS). Journal of Information Technology, FSKSM, UTM 1(9), 21–32 (2005)Google Scholar
  4. 4.
    Rahim, M.S.M, Shariff, A.R.M, Mansor, S., Mahmud, A.R.: Volumetric Spatiotemporal Data Model, Lecture Note in Geoinformation and Cartography. Lecture Note in Geoinformation and Cartography, pp. 547–556. Springer, Heidelberg (2006)Google Scholar
  5. 5.
    Narciso, F.E.: A Spatiotemporal Data Model for Incorporating Time in Geographical Information Systems (GEN-STGIS), Doctor of Philosophy in Computer Science and Engineering, University of South Florida (April 1999)Google Scholar
  6. 6.
    Ale, R., Wolfgang, K.: Cell Tuple Based Spatio-Temporal Data Model: An Object Oriented Approach, Geographic Information Systems, Association of Computing Machinery (ACM), 2-6 November 1999, pp. 20–25. ACM Press, New York (1999)Google Scholar
  7. 7.
    Moris, K., Hill, D., Moore, A.: Mapping The Environment Through Three-Dimensional Space and Time, Pergamon, Computers. Environment and Urban Systems 24, 435–450 (2000)CrossRefGoogle Scholar
  8. 8.
    Donggen, W., Tao, C.: A Spatio-temporal Data Model for ActivityBased Transport Demand Modeling. International Journal of Geographical Information Science 15, 561–585 (2001)CrossRefGoogle Scholar
  9. 9.
    Philip, J.U.: A Spatiotemporal Data Model for Zoning, Masters of Science Thesis, Department of Geography, Brigham Young University (2001)Google Scholar
  10. 10.
    Bonan, L.,Guoray, C.: A General Object-Oriented Spatial Temporal Data Model, Symposium on Geospatial Theory, Processing and Applications, Ottawa (March 2002)Google Scholar
  11. 11.
    Elena, C., Michela, B., Elisa, B., Giovanna, G.: A Multigranular Spatiotemporal Data Model. In: GIS’03, New Orleans, Louisiana, USA, November 7-8, 2003, pp. 94–101 (2003)Google Scholar
  12. 12.
    Yanfen, L.: A Feature-Based Temporal Representation and Its Implementation with Object-Relational Schema for Base Geographic Data in Object-Based Form, UCGIS Assembly (2004)Google Scholar
  13. 13.
    Roddick, J.F., Egenhofer, M.J, Hoel, E., Papadias, D.: Spatial, Temporal, and Spatiotemporal Databases. In: SIGMOD Record Web, vol. 33(2) (June 2004)Google Scholar
  14. 14.
    Mountrakis, G., Agouris, P., Stefanidis, A.: Similarity Learning in GIS: An Overview of Definitions, Prerequisites and Challenges, Spatial Databases Technologies, Techniques and Trends, pp. 295–321. Idea Group Publishing, USA (2005)Google Scholar
  15. 15.
    Anders, W.: Book Review: Next Generation of Geospatial Information from Digital Image Analysis to Spatiotemporal Databases by Peggy Agouuris and Arie Croitoru. Transaction in GIS 10(5), 773–775 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Mohd Shafry Mohd Rahim
    • 1
  • Abdul Rashid Mohamed Shariff
    • 2
  • Shattri Mansor
    • 2
  • Ahmad Rodzi Mahmud
    • 2
  • Daut Daman
    • 1
  1. 1.Faculty of Computer Science and Information System, University Technology Malaysia, 81310 Skudai, JohorMalaysia
  2. 2.Institute of Advance Technology, University Putra Malaysia, 43400 Serdang, SelangorMalaysia

Personalised recommendations