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The development and use of digital cartographic data bases

  • 1. Geographic Applications — Mapping
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Data Base Techniques for Pictorial Applications

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 81))

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Abstract

The increasing demand of the Nation's natural resources developers for storage, retrieval, manipulation, analysis, and display of large quantities3 of earth science data have necessitated the use of computers and the building of sophisticated computer information systems. As the needs of resource managers and analysts were identified, it becomes obvious that cartographic data in digital form were required. The Geological Survey is gathering digital cartographic data in several forms including base category data (such as boundaries, hydrography, transportation, etc.), elevation data, and land use and land cover data to meet these and other needs. As we gather data, we are beginning to identify some of the problems unique to organizing cartographic data in form suitable for storage, retrieval, and analysis.

The ability of software to direct the storage, retrieval, and analysis tasks is dependent not only on the efficiency of the software, but also on the structure of the spatial data. The key elements and formats required by spatial data handling systems must be identified and incorporated into spatial data structures. The requirements of and approaches being taken by the Geological Survey in performinng these takss reflect our need to manage and use large quantities of complex digital cartographic data.

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References

  • Anderson, J.R., Hardy, E.E., Roach, J.T., and Witmer, R.E., 1976, A land use and land cover classification system for use with remote sensor data: U.S. Geological Survey Professional Paper 964, 28 p.

    Google Scholar 

  • Digital Applications Team, 1979a, Computer files and attribute codes for digital line graphs: U.S. Geological Survey, Topographic Division, 520 National Center, Reston, Virginia 22092.

    Google Scholar 

  • Digital Applications Team, 1979b, Computer files and attribute codes for digital line graphs: U.S. Geological Survey, Topographic Division, 520 National Center, Reston, Virginia 22092.

    Google Scholar 

  • Guptill, Stephen, C., 1978, A digital cartographic data base for land use and land cover and associated maps in Proceedings, International User's Conference on Computer Mapping Software and Data Bases: Cambridge, Massachusetts, Harvard University, 33 p.

    Google Scholar 

  • Mitchell, W.B., Guptill, S.C., Anderson, K.E., Fegeas, R.G., and Hallam, C.A., 1977, GIRAS: a geographic information retrieval and analysis system for handling land use and land cover data: U.S. Geological Survey Professional Paper 1059, 16 p.

    Google Scholar 

  • Palmer, J.A.B., 1975, Computer science aspects of the mapping problem in Davis, J.A., and McCullagh, M., 1975, Display and Analysis of Spatial Data: New York, New York, John Wiley and Sons, p. 155–172.

    Google Scholar 

  • Peucker, T.K., and Chrisman, Nicholas, 1975, Cartographic data structures in The American Cartographer, v. 2, no. 1, p. 55–69.

    Google Scholar 

  • Sutherland, I.E., and Mead, C.A., 1977, Microelectronics and computer science in Scientific American, v. 237, no. 3, p. 210–228.

    Google Scholar 

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A. Blaser

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© 1980 Springer-Verlag Berlin Heidelberg

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Guptill, S.C. (1980). The development and use of digital cartographic data bases. In: Blaser, A. (eds) Data Base Techniques for Pictorial Applications. Lecture Notes in Computer Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-09763-5_4

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  • DOI: https://doi.org/10.1007/3-540-09763-5_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-09763-1

  • Online ISBN: 978-3-540-38651-3

  • eBook Packages: Springer Book Archive

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