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GIS and spatial data analysis: Converging perspectives

In: Fifty Years of Regional Science

Author

Listed:
  • Michael F. Goodchild

    (University of California)

  • Robert P. Haining

    (University of Cambridge)

Abstract

This article identifies some of the important developments in GIS and spatial data analysis since the early 1950s. Although GIS and spatial data analysis started out as two more or less separate areas of research and application, they have grown closer together over time. We argue that the two areas meet in the field of geographic information science, with each supporting and adding value to the other. The article starts off providing a critical retrospective of developments over the past 50 years. Subsequently, we reflect on current challenges and speculate about the future. Finally, we comment on the potential for convergence of developments in GIS and spatial data analysis under the rubric of geographic information science (GIScience).

Suggested Citation

  • Michael F. Goodchild & Robert P. Haining, 2004. "GIS and spatial data analysis: Converging perspectives," Advances in Spatial Science, in: Raymond J. G. M. Florax & David A. Plane (ed.), Fifty Years of Regional Science, pages 363-385, Springer.
    • Handle: RePEc:spr:adspcp:978-3-662-07223-3_16
    DOI: 10.1007/978-3-662-07223-3_16
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    Citations

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    Cited by:

    1. Antonio Boggia & Fabrizio Luciani & Gianluca Massei & Luisa Paolotti & Lucia Rocchi & Tommaso Sediari, 2013. "An evaluation of climate change effects on agricultural systems: the case of Trasimeno Lake," Quaderni del Dipartimento di Economia, Finanza e Statistica 125/2013, Università di Perugia, Dipartimento Economia.
    2. Dean M Hanink, 2007. "Spatial and Geographical Effects in Regional Multiplier Analysis," Environment and Planning A, , vol. 39(3), pages 748-762, March.
    3. Han Yue & Tao Hu, 2021. "Geographical Detector-Based Spatial Modeling of the COVID-19 Mortality Rate in the Continental United States," IJERPH, MDPI, vol. 18(13), pages 1-16, June.
    4. Xue, Liming & Li, Huaqing & Shen, Wenlong & Zhao, Xiangyi & Liu, Zhe & Zheng, Zhixue & Hu, Jie & Meng, Shuo, 2023. "Applying GeoDetector to disentangle the contributions of the 4-As evaluation indicators to the spatial differentiation of coal resource security," Energy Policy, Elsevier, vol. 173(C).
    5. Brereton, Finbarr & Clinch, J. Peter & Ferreira, Susana, 2008. "Happiness, geography and the environment," Ecological Economics, Elsevier, vol. 65(2), pages 386-396, April.
    6. Xingjian Liu & James LeSage, 2010. "Arc_Mat: a Matlab-based spatial data analysis toolbox," Journal of Geographical Systems, Springer, vol. 12(1), pages 69-87, March.

    More about this item

    Keywords

    GIS; spatial data analysis; spatial modelling; geostatistics; point processes;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • 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
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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