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PySAL: the first 10 years

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  • Sergio J. Rey

Abstract

This paper examines the field of regional science from the perspective of wider developments surrounding open-source software and the rising open-science movement. Regional science has been fairly isolated from these currents and a number of possible explanations for that isolation are identified. Opportunities that the emerging fields of data science and analytics afford for regional science are identified, and exemplar efforts leading the charge in engaging with these opportunities are highlighted.

Suggested Citation

  • Sergio J. Rey, 2019. "PySAL: the first 10 years," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(3), pages 273-282, July.
    • Handle: RePEc:taf:specan:v:14:y:2019:i:3:p:273-282
    DOI: 10.1080/17421772.2019.1593495
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    Cited by:

    1. Geoff Boeing, 2020. "Urban Street Network Analysis in a Computational Notebook," REGION, European Regional Science Association, vol. 7, pages 39-51.
    2. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, "undated". "An open source software tool for spatial flow data analysis_ supprimé à la demande de T. Laurent," TSE Working Papers 125949, Toulouse School of Economics (TSE).
    3. Jonathan Reades & Sergio J. Rey, 2021. "Geographical Python Teaching Resources: geopyter," Journal of Geographical Systems, Springer, vol. 23(4), pages 579-597, October.

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