Modeling and Sharing Graphic Presentations of Geospatial Data

  • Stefan F. Keller
  • Hugo Thalmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1580)


Digitally capturing and maintaining geospatial data is expensive. The consequence is that there is a need for the integration of geoprocessing software into mainstream computer technology and a demand to share geospatial data. This demand includes consequently the sharing of specific graphic views on it. In this paper an implementable framework is presented for defining graphic views on geospatial data. This is based on an existing geospatial data definition language and a transfer format, called INTERLIS.


Geographic Information System Geospatial Data Graphic View Point Symbol Geospatial Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Bartelme, N.: Geoinformatik - Modelle - Strukturen - Funktionen, p. 414. Springer, Berlin (1995)Google Scholar
  2. 2.
    Bertin, J.: Semiology of Graphics: Diagrams, Networks, Maps. University of Wisconsin Press (1983)Google Scholar
  3. 3.
    Booch, G., Rumbaugh, J., Jacobson, I.: Unified Modeling Language Semantics and Notation Guide 1.0. Rational Software Corporation, San Jose, California USA (1997),
  4. 4.
    Buehler, K., McKee, L.: The OpenGIS Guide, 2nd edn. Open GIS Consortium Inc., May 22, p. 103 (1996) ISBN pending,
  5. 5.
    Camara, G., Casanova, M.A., De Freitas, U.M., Cordeiro, J.P.C., Hara, L.: A Presentation Language for GIS Cadastral Data. In: Laurini, R. (ed.) Proceedings of ACMGIS 1996 (1996)Google Scholar
  6. 6.
    Codd, E.F.: A relational model of data for large shared data banks. Communications of the ACM 13(6), 377–387 (1970)Google Scholar
  7. 7.
    Egenhofer, M.: Spatial SQL: A Query and Presentation Language. IEEE Transactions on Knowledge and Data Engineering 6(1), 86–95 (1994)Google Scholar
  8. 8.
    Goodchild, M.F., Egenhofer, M.J., Fegeas, R.: Interoperating GISs - Report of a Specialist Meeting Held under the Auspices of the Varenius Project Panel on Comuputational Implementations of Geographic Concepts, Santa Barbara, California, December 5-6, p. 64 (1997),
  9. 9.
    Goh, P.-C.: A Graphic Query Language for Cartographic and Land Information Systems. International Journal on Geographical Information Systems 1(4), 327–334 (1989)MathSciNetGoogle Scholar
  10. 10.
    Hull, R., King, R.: Semantic Database Modeling: Survey, Applications and Research Issues. ACM Computing Surveys, 201–260 (September 1987)Google Scholar
  11. 11.
    INTERLIS: INTERLIS - A Data Exchange Mechanism for Land Information Systems, Version 1 Revision 1, Federal Department of Cadastral Surveying, Berne, p. 32 (1997),
  12. 12.
    INTERLIS: Draft INTERLIS Version 2, Federal Department of Cadastral Surveying, Berne, p. 51 (1998),
  13. 13.
    ISO/TC211: ISO/TC211 Geographic information / Geomatics, Family of standards numbered ISO 15046 - part nn (1994),
  14. 14.
    Jones, J.T., Slutzah, R.P.: A Framework for Multi-Participant/Cooperative GIS: Process, Public Records and Data Products. In: URISA 1994 Annual Conference Proceedings, vol. 1, pp. 92–101. Urban and Regional Information Systems Association, Washington (1994)Google Scholar
  15. 15.
    Keller, S.F.: Modeling and Sharing Geographic Data with INTERLIS. Computers & Geosciences, Special Issue on Systems Integration Within The Geosciences (in press)Google Scholar
  16. 16.
    Markley, R.W.: Data Communications and Interoperability. Prentice-Hall Intl. Inc., Englewood Cliffs (1990) ISBN 01-31-993402Google Scholar
  17. 17.
    SDTS: Spatial Data Transfer Standard (SDTS). Federal information processing standards 173. National Institute of Standards and Technology (NIST), MD (1992)Google Scholar
  18. 18.
    Voisard, A., Schweppe, H.: Abstraction and Decomposition in Interoperable GIS. ICSI Technical Report No. 97006 (March 1997), http://ftp.ICSI.Berkeley.EDU
  19. 19.
    Weibel, R., Keller, S.F., Reichenbacher, T.: Overcoming the Knowledge Acquisition Bottleneck in Map Generalization: The Role of Interactive Systems and Computational Intelligence. In: Kuhn, W., Frank, A.U. (eds.) COSIT 1995. LNCS, vol. 988, pp. 139–156. Springer, Heidelberg (1995)Google Scholar
  20. 20.
    Zehnder, C.A.: Informationssysteme und Datenbanken, p. 253. Verlag der Fachvereine, Zürich (1985)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Stefan F. Keller
    • 1
  • Hugo Thalmann
    • 2
  1. 1.Federal Office of TopographyCenter of Competence INTERLISWabernSwitzerland
  2. 2.a/m/t Software Service AGWinterthurSwitzerland

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