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Some thoughts on the impact of large data sets on regional science


  • Arthur Getis

    () (Department of Geography, San Diego State University, San Diego, CA 92182, USA)


The rapid advances in computer technology give regional scientists the opportunity to employ data sets that are much larger than those currently in use. Increasingly, metadata are being created in order to give researchers a better understanding of the qualities of data sets. Nonetheless, a number of problems associated with large data sets, outlined in this paper, stand in the way of proper scientific use of the data. Regional scientists should not only take advantage of the new data but they should be prepared to handle the problems associated with them.

Suggested Citation

  • Arthur Getis, 1999. "Some thoughts on the impact of large data sets on regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 33(2), pages 145-150.
  • Handle: RePEc:spr:anresc:v:33:y:1999:i:2:p:145-150

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    Cited by:

    1. Schintler, Laurie A. & Fischer, Manfred M., 2018. "The Analysis of Big Data on Cites and Regions - Some Computational and Statistical Challenges," Working Papers in Regional Science 2018/08, WU Vienna University of Economics and Business.
    2. Schintler, Laurie A. & Fischer, Manfred M., 2018. "Big Data and Regional Science: Opportunities, Challenges, and Directions for Future Research," Working Papers in Regional Science 2018/02, WU Vienna University of Economics and Business.

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