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Tiling large geographical databases

  • Geographic Applications
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 409))

Abstract

Geographical variation is infinitely complex, so the information coded in a spatial database can only approximate reality. The information will always be inadequate, in spatial resolution, thematic or geographical coverage. "Large" can be usefully defined as exceeding our current capacity to deliver. We provide examples of large geographical databases. Traditional stores partition geographical data by theme and geographically. We assume that digital geographical databases will be largely archival, and will be similarly partitioned. A general model of a large archival store is presented. We analyze the properties of a generalized Morton key as a means of indexing tiles, and illustrate its role in traditional systems of tile indexing. For global databases, we propose a tiling based on recursive subdivisions of the triangular faces of an octahedron using a rule of four.

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9. References

  • Dutton, G., 1984. Geodesic modeling of planetary relief. Cartographica 21:188–207.

    Google Scholar 

  • Dutton, G., 1988. Computational aspects of quaternary triangular meshes. Unpublished.

    Google Scholar 

  • Dutton, G., 1989. Modeling locational uncertainty via hierarchical tesselation. In M.F. Goodchild and S. Gopal, editors, The Accuracy of Spatial Databases. Taylor and Francis, Basingstoke.

    Google Scholar 

  • Goodchild, M.F. and A.W. Grandfield, 1983. Optimizing raster storage: an examination of four alternatives. Proceedings, AutoCarto 6. Ottawa, 1:400-7.

    Google Scholar 

  • Goodchild, M.F. and S. Yang, 1989a. On average distance in Morton and generalized digit interleave tiling. Unpublished.

    Google Scholar 

  • Goodchild, M.F. and S. Yang, 1989b. A hierarchical spatial data structure for global geographic information systems. Technical Paper 89-5, National Center for Geographic Information and Analysis, University of California, Santa Barbara.

    Google Scholar 

  • Koopmans, T.C. and M. Beckmann, 1957. Assignment problems and the location of economic activity. Econometrica 25:53–76.

    Google Scholar 

  • Mandelbrot, B.B., 1965. How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science 156:636–8.

    Google Scholar 

  • Mark, D.M., 1989. Neighbor-based properties of some orderings of two-dimensional space. Geographical Analysis (in press).

    Google Scholar 

  • Whitson, J. and M. Sety, 1987. GEOLOC geographic location system. Fire Management Notes 46:30–2.

    Google Scholar 

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Authors and Affiliations

Authors

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Alejandro P. Buchmann Oliver Günther Terence R. Smith Yuan-Fang Wang

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© 1990 Springer-Verlag Berlin Heidelberg

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Goodchild, M.F. (1990). Tiling large geographical databases. In: Buchmann, A.P., Günther, O., Smith, T.R., Wang, YF. (eds) Design and Implementation of Large Spatial Databases. SSD 1989. Lecture Notes in Computer Science, vol 409. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52208-5_25

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  • DOI: https://doi.org/10.1007/3-540-52208-5_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52208-9

  • Online ISBN: 978-3-540-46924-7

  • eBook Packages: Springer Book Archive

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