Skip to main content

A Detection Model of Direction Relations for Spatial and Spatiotemporal Objects

  • Conference paper
Advanced Web Technologies and Applications (APWeb 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3007))

Included in the following conference series:

  • 370 Accesses

Abstract

Direction is frequently used as a selection condition in spatial and spatiotemporal queries.As a result, it is important for spatial and spatiotemporal databases to provide a mechanism for modeling and processing direction queries and reasoning. Depending on the direction relation matrix, an inverted direction relation matrix and the concept of direction predominance are proposed to improve the detection of direction relation between objects. Direction predicates such as “surround” and “surroundedby” are also extended. These techniques can improve the veracity of direction queries and reasoning. Experiments show excellent efficiency in view of direction queries.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. Cao, H., Chen, J., Du, D.S.: Qualitative Extension Description for Cardinal Directions of Spatial Objects. Acta Geodaetica et Cartographica Sinica 30(2), 162–167 (2001)

    Google Scholar 

  2. Frank, A.: Qualitative Spatial Reasoning: Cardinal Directions as an Example. International journal of geographical information systems 10(3), 169–190 (1996)

    Google Scholar 

  3. Peuquet, D.J., Ci-Xiang, Z.: An Algorithm to Determine the Directional Relationship between Arbitrarily-Shaped Polygons in the Plane. Pattern Recognition 20(1), 65–74 (1987)

    Article  Google Scholar 

  4. Papadias, D., Theodoridis, Y., Sellis, T.: The Retrieval of Direction Relations using R-trees. In: Karagiannis, D. (ed.) DEXA 1994. LNCS, vol. 856, pp. 173–182. Springer, Heidelberg (1994)

    Google Scholar 

  5. Papadias, D., Egenhofer, M.J., Sharma, J.: Hierarchical Reasoning about Direction Relations. In: ACMGIS 1996, Rockvillle MD USA (1996)

    Google Scholar 

  6. Yi, B.L., Feng, Y.C., Wu, Y.Y.: An Integrated Spatiotemporal Data Model and Semantic Extension. Journal of Huazhong Univ. of Sci. and Tech. (2004) (in Chinese) (to appear)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bao-Lin, Y., Yu-Cai, F. (2004). A Detection Model of Direction Relations for Spatial and Spatiotemporal Objects. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds) Advanced Web Technologies and Applications. APWeb 2004. Lecture Notes in Computer Science, vol 3007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24655-8_95

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24655-8_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21371-0

  • Online ISBN: 978-3-540-24655-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics