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Theory for the integration of scale and representation formats: Major concepts and practical implications

  • Bud P. Bruegger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 988)

Abstract

While GISs become ever more powerful and comfortable to use, spatial data integration has remained a difficult user responsibility with only sparse system support. A recent Ph.D. thesis has proposed a spatial theory that attempts to remove some major impediments to automation in this area. In particular, the work focuses on the integration of scale and format (raster/vector) differences. As a first of a planned series of publications, this paper describes the targeted problem, the major concepts of the solution, and discusses some practical implications that show potential benefits and difficulties of the described work.

Keywords

Spatial Theory Modulation Transfer Function Meta Data Format Conversion Infinite Domain 
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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References

  1. Abel, D.J. and Wilson, M.A., 1990: A System Approach to Integration of Raster and Vector Data and Operations. In: Proceedings, 4th International Symposium on Spatial Data Handling, Brassel, K. and Kishimoto, H. (eds.), Zürich, Switzerland, July 23–27, pp. 559–566.Google Scholar
  2. Beard, M.K., 1991: Theory of the Cartographic Line Revisited / Implications for Automated Generalization. Cartographica, 28, 4, pp. 32–58.Google Scholar
  3. Bruegger, B.P., August 1994: Spatial Theory for the Integration of Resolution-Limited Data. Ph.D. dissertation, University of Maine, Orono, Internet: ftp://grouse.umesve.maine.edu/pub/SurveyEng/Thesis/Phd/Bruegger1994.PS.ZGoogle Scholar
  4. Buttenfield, B.P., DeLotto, J.S., and McKinney, J.V., 1989: Multiple Representations: A Bibliography. NCGIA, Technical Paper no. 89-11, SUNY, Buffalo, NY, December.Google Scholar
  5. Castleman, K.R., 1979: Digital Image Processing. Prentice-Hall, Englewood Cliffs, NJ, Signal Processing Series.Google Scholar
  6. Couclelis, H., 1992: People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS. In: Proceedings, International Conference, GIS—From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning in Geographic Space, Springer-Verlag, Pisa, Italy, September 21–23, pp. 65–77.Google Scholar
  7. Davis, F.W. and Simonett, D.S., 1991: GIS and Remote Sensing. In: Geographical Information Systems: Principles and Applications. Maguire, D.J., Goodchild, M.F., and Rhind, D.W. (eds.), ch. 14, pp. 191–213, Longman, London.Google Scholar
  8. Douglas, D.H. and Peucker, T.K., 1973: Algorithms for the Reduction of the Number of Points Required to Represent a Line or its Caricature. The Canadian Cartographer, 10, 2, pp. 112–123.Google Scholar
  9. Flowerdew, R., 1991: Spatial Data Integration. In: Geographical Information Systems: Principles and Applications. Maguire, D.J., Goodchild, M.F., and Rhind, D.W. (eds.), ch. 24, pp. 375–387, Longman, London.Google Scholar
  10. Gold, C.M., 1992: An Object-Based Dynamic Spatial Model, and its Application in the Development of a User-Friendly Digitizing System. In: Proceedings, 5th International Symposium on Spatial Data Handling, Bresnahan, P., Corwin, E., and Cowen, D. (eds.), Charleston, SC, August 3–7, pp. 495–504.Google Scholar
  11. Goodchild, M.F., 1990: A Geographical Perspective on Spatial Data Models. In: GIS Design Models and Functionality Conference, Leicester. U.K., March 21–22, pp. 1–16.Google Scholar
  12. Goodchild, M.F., 1992a: Hard Challenges and Opportunities in GIS-Related Research., GIS-L, summarized by Tom Poiker, November 27.Google Scholar
  13. Goodchild, M.F., 1992b: Geographical Information Science. International Journal of Geographical Information Systems, 6, 1, pp. 31–45.Google Scholar
  14. Goodchild, M.F., 1993: Fundamentals of an Integrated GIS. Journal of Vegetation Science, July.Google Scholar
  15. van der Knaap, W.G.M., 1992: The Vector to Raster Conversion: (Mis)use in Geographical Information Systems. International Journal of Geographical Information Systems, 6, 2, pp. 159–170.Google Scholar
  16. Maguire, D.J., Kimber, B., and Chick, J., 1991: Integrated GIS: The Importance of Raster. In: Proceedings of the ACSM-ASPRS Annual Convention, Baltimore, MD, pp. 107–116.Google Scholar
  17. Monmonier, M.S., 1983: Raster-Mode Area Generalization for Land Use and Land Cover Maps. Cartographica, 20, 4, pp. 65–91.Google Scholar
  18. Perkal, J., 1966: An Attempt at Objective Generalization. Community of Mathematical Geographers Discussion Papers, 10, pp. 1–18.Google Scholar
  19. Piwowar, J.M. and LeDrew, E.F., 1990: Integrating Spatial Data: A User's Perspective. Photogrammetric Engineering & Remote Sensing, 56, 11, November, pp. 1497–1502.Google Scholar
  20. Rhind, D.W., Green, N.P.A., Mounsey, H.M, and Wiggins, J.C., 1984: The Integration of Geographical Data. In: Proceedings of Austra Carto Perth, Australian Cartographic Association, pp. 273–293.Google Scholar
  21. Robinson, A.H., Sale, R.D., Morrison, J.L., and Muehrcke, P.C., 1984: Elements of Cartography. John Wiley & Sons, New York.Google Scholar
  22. Shepherd, I.D.H., 1991: Information Integration and GIS. In: Geographical Information Systems: Principles and Applications. Maguire, D.J., Goodchild, M.F., and Rhind, D.W. (eds.), ch. 22, pp. 337–360, Longman, London.Google Scholar
  23. Smith, T.R., 1992: Towards a Logic-Based language for Modeling and Database Support in Spatio-Temporal Domains. In: Proceedings, 5th International Symposium on Spatial Data Handling, Bresnahan, P., Corwin, E., and Cowen, D. (eds.), Charleston, SC, August 3–7, pp. 592–601.Google Scholar
  24. Stephan, E.M., Vckovski, A., and Bucher, F., 1993: Virtual Data Set—An Approach for the Integration of Incompatible Data. In: Proceedings, Auto-Carto 11, McMaster, R.B. and Armstrong, M.P. (eds.), Minneapolis, MN, October 30–Novermber 1, pp. 93–102.Google Scholar
  25. Strahler, A.H., Woodcock, C.E., and Smith, J.A., 1986: On the Nature of Models in Remote Sensing. Remote Sensing of the Environment, 20, pp. 121–139.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Bud P. Bruegger
    • 1
  1. 1.InfoTerraGrossetoItaly

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