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Arthur Getis: a legend in geographical systems

Author

Listed:
  • Alan T. Murray

    (University of California at Santa Barbara)

  • Luc Anselin

    (University of Chicago)

  • Sergio J. Rey

    (San Diego State University)

Abstract

The passing of Professor Arthur Getis in May of 2022 initiated a number of events to both reflect on and remember the tremendous contributions he has made over his career to geographical systems more broadly, but also spatial analysis, spatial statistics, regional science, geography and GIScience, among others. This began with a series of sessions at the North American Regional Science Council meetings held in Montreal, Canada in November of 2022, followed by an invitation from the editors of Journal of Geographical Systems, Manfred Fischer, Antonio Paez, and Petra Staufer-Steinnocher, to organize a special issue in his honor. Soon thereafter, an open call was initiated to solicit submissions to this special issue, seeking original contributions that overlap and complement the broad range of research undertaken by Professor Getis over a distinguished career and life. This paper offers an overview of prominent geographical systems work carried out by Professor Getis. Reflections on his many contributions are also detailed. A summary of the contributions to this special issue is given, along with final thoughts.

Suggested Citation

  • Alan T. Murray & Luc Anselin & Sergio J. Rey, 2024. "Arthur Getis: a legend in geographical systems," Journal of Geographical Systems, Springer, vol. 26(2), pages 181-190, April.
    • Handle: RePEc:kap:jgeosy:v:26:y:2024:i:2:d:10.1007_s10109-024-00443-2
    DOI: 10.1007/s10109-024-00443-2
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    References listed on IDEAS

    as
    1. Ge Lin & Tonglin Zhang, 2024. "Spatial monitoring to reduce COVID-19 vaccine hesitance," Journal of Geographical Systems, Springer, vol. 26(2), pages 249-264, April.
    2. J. Paul Elhorst & Ioanna Tziolas & Chang Tan & Petros Milionis, 2024. "The distance decay effect and spatial reach of spillovers," Journal of Geographical Systems, Springer, vol. 26(2), pages 265-289, April.
    3. John R. Weeks, 2024. "The importance of Arthur Getis to spatial demography," Journal of Geographical Systems, Springer, vol. 26(2), pages 201-208, April.
    4. J. Keith Ord, 2024. "Art Getis and Local Spatial Statistics," Journal of Geographical Systems, Springer, vol. 26(2), pages 191-200, April.
    5. Manfred M. Fischer, 2022. "In memoriam: Professor Arthur Getis (July 6, 1934–May 13, 2022)," Journal of Geographical Systems, Springer, vol. 24(3), pages 281-283, July.
    6. Getis, Arthur, 2007. "Reflections on spatial autocorrelation," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 491-496, July.
    7. Luc Anselin & Pedro Amaral, 2024. "Endogenous spatial regimes," Journal of Geographical Systems, Springer, vol. 26(2), pages 209-234, April.
    8. Arthur Getis, 1990. "Screening For Spatial Dependence In Regression Analysis," Papers in Regional Science, Wiley Blackwell, vol. 69(1), pages 69-81, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Spatial analysis; Spatial statistics; Regional science; GIScience; Geography;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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