Skip to main content

The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5981))

Abstract

Besides topological relations and approximate relations, cardinal directions have turned out to be an important class of qualitative spatial relations. In spatial databases and GIS they are frequently used as selection criteria in spatial queries. But the available models of cardinal relations suffer from a number of problems like the unequal treatment of the two spatial objects as arguments of a cardinal direction relation, the use of too coarse approximations of the two spatial operand objects in terms of single representative points or minimum bounding rectangles, the lacking property of converseness of the cardinal directions computed, the partial restriction and limited applicability to simple spatial objects only, and the computation of incorrect results in some cases. This paper proposes a novel two-phase method that solves these problems and consists of a tiling phase and an interpretation phase. In the first phase, a tiling strategy first determines the zones belonging to the nine cardinal directions of each spatial object and then intersects them. The result leads to a bounded grid called objects interaction grid. For each grid cell the information about the spatial objects that intersect it is stored in an objects interaction matrix. In the second phase, an interpretation method is applied to such a matrix and determines the cardinal direction. These results are integrated into spatial queries using directional predicates.

This work was partially supported by the National Science Foundation under grant number NSF-CAREER-IIS-0347574.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Schneider, M. (ed.): Spatial Data Types for Database Systems. LNCS, vol. 1288. Springer, Heidelberg (1997)

    Google Scholar 

  2. Frank, A.: Qualitative Spatial Reasoning: Cardinal Directions as an Example. International Journal of Geographical Information Science 10(3), 269–290 (1996)

    Article  Google Scholar 

  3. Goyal, R., Egenhofer, M.: Cardinal Directions between Extended Spatial Objects (2000) (unpublished manuscript)

    Google Scholar 

  4. Skiadopoulos, S., Koubarakis, M.: Composing Cardinal Direction Relations. Artificial Intelligence 152(2), 143–171 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  5. Haar, R.: Computational Models of Spatial Relations. Technical Report: TR-478, MSC-72-03610 (1976)

    Google Scholar 

  6. Skiadopoulos, S., Sarkas, N., Sellis, T., Koubarakis, M.: A Family of Directional Relation Models for Extended Objects. IEEE Trans. on Knowledge and Data Engineering (TKDE) 19(8), 1116–1130 (2007)

    Article  Google Scholar 

  7. Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Journal of the Association for Computing Machinery 26(11), 832–843 (1983)

    MATH  Google Scholar 

  8. Chang, S.K.: Principles of Pictorial Information Systems Design. Prentice-Hall, Englewood Cliffs (1989)

    Google Scholar 

  9. Papadias, D., Egenhofer, M.: Algorithms for Hierarchical Spatial Reasoning. GeoInformatica 1(3), 251–273 (1997)

    Article  Google Scholar 

  10. 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 

  11. Papadias, D., Egenhofer, M., Sharma, J.: Hierarchical Reasoning about Direction Relations. In: 4th ACM workshop on Advances in Geographic Information Systems, pp. 105–112 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, T., Schneider, M., Viswanathan, G., Yuan, W. (2010). The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12026-8_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12026-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12025-1

  • Online ISBN: 978-3-642-12026-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics