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Show me the code: spatial analysis and open source

Author

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  • Sergio Rey

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Abstract

This paper considers the intersection of academic spatial analysis with the open source revolution. Its basic premise is that the potential for cross-fertilization between the two is rich, yet some misperceptions about these two communities pose challenges to realizing these opportunities. The paper provides a primer on the open source movement for academicians with an eye towards correcting these misperceptions. It identifies a number of ways in which increased adoption of open source practices in spatial analysis can enhance the development of the next generation of tools and the wider practice of scientific research and education.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Sergio Rey, 2009. "Show me the code: spatial analysis and open source," Journal of Geographical Systems, Springer, vol. 11(2), pages 191-207, June.
  • Handle: RePEc:kap:jgeosy:v:11:y:2009:i:2:p:191-207
    DOI: 10.1007/s10109-009-0086-8
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    File URL: http://hdl.handle.net/10.1007/s10109-009-0086-8
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    References listed on IDEAS

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    1. Luc Anselin & Yong Wook Kim & Ibnu Syabri, 2004. "Web-based analytical tools for the exploration of spatial data," Journal of Geographical Systems, Springer, vol. 6(2), pages 197-218, June.
    2. Rey, Sergio J. & Anselin, Luc, 2007. "PySAL: A Python Library of Spatial Analytical Methods," The Review of Regional Studies, Southern Regional Science Association, vol. 37(1), pages 5-27.
    3. Anselin, Luc & Getis, Arthur, 1992. "Spatial Statistical Analysis and Geographic Information Systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 19-33, April.
    4. Ault, David E & Rutman, Gilbert L & Stevenson, Thomas, 1979. "Mobility in the Labor Market for Academic Economists," American Economic Review, American Economic Association, vol. 69(2), pages 148-153, May.
    5. Nikolay Nenovsky & S. Statev, 2006. "Introduction," Post-Print halshs-00260898, HAL.
    6. M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters,in: Regional Climate Change and Variability, chapter 1 Edward Elgar Publishing.
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    Citations

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    Cited by:

    1. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    2. Sergio Rey, 2014. "Open regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(3), pages 825-837, May.
    3. 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.
    4. Wenze Yue & Yuntang Zhang & Xinyue Ye & Yeqing Cheng & Mark R. Leipnik, 2014. "Dynamics of Multi-Scale Intra-Provincial Regional Inequality in Zhejiang, China," Sustainability, MDPI, Open Access Journal, vol. 6(9), pages 1-22, August.
    5. repec:asg:wpaper:1013 is not listed on IDEAS
    6. Xinyue Ye & Yuri Mansury, 2016. "Behavior-driven agent-based models of spatial systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 271-274, November.
    7. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    8. Páez, Antonio & Trépanier, Martin & Morency, Catherine, 2011. "Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 640-652, August.
    9. repec:rri:wpaper:201301 is not listed on IDEAS
    10. repec:asg:wpaper:1047 is not listed on IDEAS
    11. Bivand, Roger, 2011. "Geocomputation and open source software: components and software stacks," Discussion Paper Series in Economics 23/2011, Norwegian School of Economics, Department of Economics.

    More about this item

    Keywords

    Open source; Spatial analysis; C21; C88;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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