Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1661))

Included in the following conference series:

Abstract

In multi-Dresolution data handling, a less detailed structure is often derived from a more detailed one by amalgamating elements which are indistinguishable at the lower level of detail. This gathering together of indistinguishable elements is called a granulation of the more detailed structure. When handling spatial data at several levels of detail granulation of graphs is an important topic. The importance of graphs arises from their widespread use in modelling networks, and also from the use of dual graphs of spatial partitions. This paper demonstrates that there are several quite different kinds of granulation for graphs. Four kinds are described in detail, and situations where some of these may arise in spatial information systems are indicated. One particular kind of granulation leads to a new formulation of the boundary-sensitive approach to qualitative location developed by Bittner and Stell. Vague graphs and their connection with granulation are also discussed, and two kinds of vague graphs are identified.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. C. Berge., Hypergraphs: Combinatorics of Finite Sets, volume 45 of North-holland Mathematical Library. North-Holland, 1989.

    Book  MATH  Google Scholar 

  2. M. Bertolotto., Geometric modeling of spatial entities at multiple levels of resolution. PhD thesis, Dipartamento di Informatica e Scienze dell Informazione, Universita di Genova, 1998.

    Google Scholar 

  3. T. Bittner., a qualitative coordinate language of location of figures within the ground. In Hirtle and Frank HF97, page 223–240.

    Google Scholar 

  4. T. Bittner and J. G. Stell., A boundary-sensitive approach to qualitative location. Annals of Mathematics Artificial Intelligence, 24:93–114, 1998.

    Article  MATH  MathSciNet  Google Scholar 

  5. M. Erwig and R. H. Güting., Explicit graphs in a functional model for spatial database. IEEE Transaction on Knowledge and Data Engineering, 5:787–804, 1994.

    Article  Google Scholar 

  6. M. Erwig and M. Schneider., Partition and conquer. In HIrtle and Frank [HF97], page 389–407.

    Google Scholar 

  7. M. Erwig and M. Schneider., Vague regions. In M. Scholl and A. Voisard editors, 5th International Symposium on Advances in Spatial Databases (SSD’97), volume 1262 of Lecture Notes in Computer Science, page 298–320. Springer-Verlag, 1997.

    Google Scholar 

  8. J. Euzenat., An algebraic approach to granularity in qualitative time and space representation. In 14th International Joint Conference on Artificial Intelligence, IJCAI’95,page 894–900, 1995.

    Google Scholar 

  9. J. A. Gogun., L-fuzzy sets. Journal on Mathematical Analysis and Applications, 18:145–174, 1967.

    Article  Google Scholar 

  10. R. Goldblatt., Topoi. The Categorial Analysis of Logic. North-Holland, 1984.

    Google Scholar 

  11. S.C. Hirtle and A.U. Frank, editors. Spatial Information Theory, International Conference COSIT’97, Proceedings, volume 1329 of Lecture Notes in Computer Science. Springer-Verlag, 1997.

    Google Scholar 

  12. F.W. Lawrence and S.H. Schanuel., Conceptual Mathematics, A first Introduction to Categories. Cambridge University Press, 1997.

    Google Scholar 

  13. K. Nomot et al. A document retrieval system based on citations using fuzzy graphs. Fuzzy Sets and Systems, 38:207–222, 1990.

    Article  Google Scholar 

  14. E. Orlowska, editor. iIncomplete Information-Rough Set Analysis, volume 13 of Studies in Fuzziness and Soft Computing. Physica-Verlag, Heidelberg; 1997.

    Google Scholar 

  15. E. Puppo and G. Dettori., Towards a formal model for multiresolution spatial maps. In Advances in Spatial Database SSD’95, volume 951 of Lecture Notes in Computer Science, page 152–169. Springer-Verlag, 1995.

    Google Scholar 

  16. P. Rigaux and P. Scholl., Multi-scale partitions: Applications to spatial and statistical databases. In Advances in Spatial Databases SSD’95, volume 951 of Lecture Notes in Computer Science, page 170–183. Springer-Verlag, 1995.

    Google Scholar 

  17. J.G Stell and M.F Worboys., The algebraic structure of sets of regions. In Hirtle and Frank [HF97], page 163–197.

    Google Scholar 

  18. J.G Stell and M.F Worboys., Stratified map spaces: A formal basis for multi-resolution spatial databases. In T.K. Poiker and N. Chrisman, editors, SDH’98 Proceedings 8th International Smposium on Spatial Data Handling, page 180–189. International Geographical Union, 1998.

    Google Scholar 

  19. J.G Stell and M.F Worboys., Generalizing graphs using amalgamation and selection. In Proceedings of 6th International Symposium on Spatial Databases, (SSD’99), Lecture Notes in Computer Science, Lecture Notes in Computer Science, 1999.

    Google Scholar 

  20. S. Timpf and A.U. Frank., Using hierarchical spatial data structure for hierarchical spatial reasoning. In Hirtle and Frank [HF97], page 69–83.

    Google Scholar 

  21. S. Timpf., Hierarchical Structures in Map Series. PhD thesis, Department of Geoinformation, Technical University, Vienna, 1998.

    Google Scholar 

  22. J. Webster., Topology and measure theory in the digital setting: on the approximation of space by inverse sequence of graphs. PhD thesis, Department of Computing, Imperial College, University of London, 1998.

    Google Scholar 

  23. M.F. Worboys. Computation with imprecise geospatial data. Computers, Environment and Urban Systems, 22:85–106, 1998.

    Article  Google Scholar 

  24. M.F. Worboys. Imprecision in finite resolution spatial data. GeoInformatica, 2:257–279, 1998.

    Article  Google Scholar 

  25. L.A. Zadeh. Fuzzy sets. Information and Control, 8:338:353, 1965.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Stell, J.G. (1999). Granulation for Graphs. In: Freksa, C., Mark, D.M. (eds) Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. COSIT 1999. Lecture Notes in Computer Science, vol 1661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48384-5_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-48384-5_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66365-2

  • Online ISBN: 978-3-540-48384-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics