Skip to main content

Capturing Fuzziness and Uncertainty of Spatiotemporal Objects

  • Conference paper
  • First Online:
Advances in Databases and Information Systems (ADBIS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2151))

  • 289 Accesses

Abstract

For the majority of spatiotemporal applications, we assume that the modeled world is precise and bound. This simplification seems unnecessary crude for many environments handling spatial and temporal extents, such as navigational applications. In this work, we explore fuzziness and uncertainty, which we subsume under the term indeterminacy, in the spatiotemporal context. We first show how the fundamental modeling concepts of spatial objects, attributes, relationships, time points, time periods, and events are influenced by indeterminacy, and then show how these concepts can be combined. Next, we focus on the change of spatial objects according to their geometry over time. We outline four scenarios, which identify discrete and continuous change, and we present how to model indeterminate change. We demonstrate the applicability of this proposal by describing the uncertainty related to the movement of point objects, such as the recording of the whereabouts of taxis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Burrough, P.A., MacMillan, R.A., and van Deursen, W.: Fuzzy Classification Methods For Determining Land Suitability from Soil Profile Observations and Topography. Journal of Soil Science, 43, pp. 193–210, 1992.

    Article  Google Scholar 

  2. Cheng, T. and Molenaar, M.: Diachronie Analysis of Fuzzy Objects. GeoInformatica 3(4), pp. 337–355, 1999

    Article  Google Scholar 

  3. Chrisman, N.: A Theory of Cartographic Error and Its Measurement in Digital Databases. In Proceedings Auto-Carto 5, pp. 159–168, 1982.

    Google Scholar 

  4. Claramunt, C, and Theriault, M.: Managing Time in GIS: An Event-Oriented Approach. Recent Advances in Temporal Databases, Springer-Verlag, pp. 142–161, 1995.

    Google Scholar 

  5. Dyreson, C.E., Soo, M.D., and Snodgrass, R.T.: The Data Model for Time. The TSQL2 Temporal Query Language, Kluwer Academics, pp. 97–101, 1995.

    Google Scholar 

  6. Fisher, P.: Boolean and Fuzzy Regions. Geographic Objects with Indeterminate Boundaries, Taylor & Francis, pp. 87–94, 1996.

    Google Scholar 

  7. Goodchild, M. and Gopal, S. (Eds): Accuracy of Spatial Databases. Taylor & Frames, 1989.

    Google Scholar 

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

    Article  Google Scholar 

  9. Hadzilacos, T.: On Layer-Based Systems for Undetermined Boundaries. Geographic Objects with Indeterminate Boundaries, Taylor & Francis, pp. 237–256, 1996.

    Google Scholar 

  10. Hadzilacos, T., and Tryfona, N.: A Model for Expressing Spatiotemporal Integrity Constraints. In Proc. of the International Conference on Theories and Methods of Spatio-Temporal Reasoning, pp. 252–268, 1992.

    Google Scholar 

  11. Kalman, R.E.: A New Approach to Linear Filtering and Prediction Problems. Transactions of the AS ME-Journal of Basic Engineering, pp. 35–45, 1960.

    Google Scholar 

  12. Krakiwsky, E.J., Harris, C. B., and Wong, R.: A Kalman Filter for Integrating Dead Reckoning, Map Matching, and GPS Positioning. In Proc. of the IEEE Position Location and Navigation Symposium, pp. 39–46, 1988.

    Google Scholar 

  13. Pfoser, D. and Jensen, C.S.: Capturing the Uncertainty of Moving-Object Representations. In Proc. of the 6th International Symposium on the Advances in Spatial Databases, pp. 111–132, 1999.

    Google Scholar 

  14. Pfoser, D. and Tryfona, N.: Requirements, Definitions, and Notations for Spatiotemporal Application Environments. In Proc. of the 6 th ACM Symposium on Geographic Information Systems, pp. 124–130, 1998.

    Google Scholar 

  15. Pfoser, D. and Tryfona, N.: Capturing Fuzziness and Uncertainty of Spatiotemporal Objects. TimeCenter Technical Report, 2001.

    Google Scholar 

  16. Pfoser, D., Jensen, C, and Theodoridis, Y.: Novel Approaches in Query Processing for Moving Objects Data. In Proc. of the 27 th Conference on Very Large Databases, pp. 395–406, 2000.

    Google Scholar 

  17. Schneider, M., Metric Operations on Fuzzy Spatial Objects in Databases, In Proc. of the 8 th ACM Symposium on Geographic Information Systems, 2000.

    Google Scholar 

  18. Shibasaki, R.: Handling Spatiotemporal Uncertainties of Geo-Objects for Dynamic Update of GIS Databases from Multi-Source Data. In Advanced Geographic Data Modeling, Netherlands Geodetic Commission, Publications on Geodesy, 40, pp. 228–243, 1994.

    Google Scholar 

  19. Vazirgiannis, M.: Uncertainty Handling in Spatial Relationships. In Proc. of the ACM Symp. on Applied Computing, 2000.

    Google Scholar 

  20. Worboys, M.: Imprecision in Finite Resolution Spatial Data. GeoInformatica 2(3), pp. 257–279, 1998.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pfoser, D., Tryfona, N. (2001). Capturing Fuzziness and Uncertainty of Spatiotemporal Objects. In: Caplinskas, A., Eder, J. (eds) Advances in Databases and Information Systems. ADBIS 2001. Lecture Notes in Computer Science, vol 2151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44803-9_10

Download citation

  • DOI: https://doi.org/10.1007/3-540-44803-9_10

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42555-7

  • Online ISBN: 978-3-540-44803-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics