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An open source software tool for spatial flow data analysis_ supprimé à la demande de T. Laurent

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  • Laurent, Thibault
  • Margaretic, Paula
  • Thomas-Agnan, Christine

Abstract

The rapidly increasing dimensionality and throughput of flow data require new tools for analysis and interpretation. This paper provides open source tools for the exploration and analysis of origin-destination spatial flow data. We integrate in a single open source R software tool existing visualization techniques for complex OD flow data, as well as new graphical representations. We discuss implementation of these tools from a practitioner point of view. These tools should help scholars to extract meaningful relations between entities accounting at the same time for the intensity of the movements (or relations) and the geography linking the spatial units

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  • 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).
    • Handle: RePEc:tse:wpaper:125949
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    References listed on IDEAS

    as
    1. Sergio J. Rey, 2019. "PySAL: the first 10 years," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(3), pages 273-282, July.
    2. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, March.
    3. Daniel Griffith & Yongwan Chun, 2015. "Spatial Autocorrelation in Spatial Interactions Models: Geographic Scale and Resolution Implications for Network Resilience and Vulnerability," Networks and Spatial Economics, Springer, vol. 15(2), pages 337-365, June.
    4. Laurent, Thibault & Margaretic, Paula & Thomas-Agnan, Christine, 2021. "Do neighboring countries matter when explaining bilateral remittances?," TSE Working Papers 21-1221, Toulouse School of Economics (TSE).
    5. Wilkinson, Leland & Friendly, Michael, 2009. "The History of the Cluster Heat Map," The American Statistician, American Statistical Association, vol. 63(2), pages 179-184.
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