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Regional analytics

Author

Listed:
  • Alan T. Murray

    (University of California at Santa Barbara)

Abstract

This paper was originally presented as a presidential address for the 56th Annual Meeting of the Western Regional Science Association, held in Santa Fe, New Mexico, on February 15–18, 2017. The intent of the paper is to discuss the continued importance of analytical methods to further knowledge and understanding, and in doing so contribute to enhanced analysis, planning, policy and decision making in a variety of contexts. Regional science is founded on the principle of being a multi-disciplinary effort, bringing together a range of quantitative approaches to study societal issues and concerns through planning and policy efforts, hopefully to bring about positive change. Analytics is an increasingly popular reference to the methods employed by a discipline or specialty area. Given the prominence of methods in regional science, it is suggestive of a more nuanced term like regional analytics. It is hoped that reflecting on regional analytics will reinforce the significance and strength of our discipline in the coming years and decades. It is only through our actions that we will make a difference, and we hope that such actions are based on the best information and scientific reasoning possible.

Suggested Citation

  • Alan T. Murray, 2017. "Regional analytics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 1-13, July.
    • Handle: RePEc:spr:anresc:v:59:y:2017:i:1:d:10.1007_s00168-017-0825-6
    DOI: 10.1007/s00168-017-0825-6
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    References listed on IDEAS

    as
    1. Duane F. Marble, 1959. "Transport Inputs At Urban Residential Sites," Papers in Regional Science, Wiley Blackwell, vol. 5(1), pages 253-266, January.
    2. Alan T. Murray, 2010. "Quantitative Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 143-163, February.
    3. Murray, Alan T. & Wei, Ran, 2013. "A computational approach for eliminating error in the solution of the location set covering problem," European Journal of Operational Research, Elsevier, vol. 224(1), pages 52-64.
    4. Alan T. Murray, 2017. "GIS in Regional Research," Advances in Spatial Science, in: Randall Jackson & Peter Schaeffer (ed.), Regional Research Frontiers - Vol. 2, chapter 0, pages 169-180, Springer.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis

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