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Utilizing spatial information systems for non-spatial-data analysis

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  • L. John Old

    (Indiana University)

Abstract

Recent advances in the power and capabilities of personal computers have brought the algorithms and representational methods of Geographic Information Systems (GIS) to the desktop. Information that has relationships between elements may be represented spatially, especially if some distance metric can be brought to bear. This paper discusses information cartography, the use of spatial methods for the display of non-Geographic data.

Suggested Citation

  • L. John Old, 2001. "Utilizing spatial information systems for non-spatial-data analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 563-571, July.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:3:d:10.1023_a:1019603321216
    DOI: 10.1023/A:1019603321216
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    References listed on IDEAS

    as
    1. Mark Rorvig & Matthias Hemmje, 1999. "Conference Notes—1996: Foundations of Advanced Information Visualization for Visual Information (Retrieval) Systems," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 835-837.
    2. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
    3. Howard D. White & Katherine W. McCain, 1998. "Visualizing a discipline: An author co‐citation analysis of information science, 1972–1995," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(4), pages 327-355.
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    Cited by:

    1. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.

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