IDEAS home Printed from https://ideas.repec.org/p/tse/wpaper/125949.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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

Suggested Citation

  • 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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, September.
    2. 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.
    3. 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).
    4. Wilkinson, Leland & Friendly, Michael, 2009. "The History of the Cluster Heat Map," The American Statistician, American Statistical Association, vol. 63(2), pages 179-184.
    5. Sergio J. Rey, 2019. "PySAL: the first 10 years," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(3), pages 273-282, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yingxia Pu & Xinyi Zhao & Guangqing Chi & Jin Zhao & Fanhua Kong, 2019. "A spatial dynamic panel approach to modelling the space-time dynamics of interprovincial migration flows in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(31), pages 913-948.
    2. Alicja Grześkowiak, 2016. "Assessment of Participation in Cultural Activities in Poland by Selected Multivariate Methods," European Journal of Social Sciences Education and Research Articles, Revistia Research and Publishing, vol. 3, January -.
    3. Chocholatá Michaela & Furková Andrea, 2017. "Regional Disparities in Education Attainment Level in the European Union: A Spatial Approach," TalTech Journal of European Studies, Sciendo, vol. 7(2), pages 107-131, October.
    4. Motoyama, Yasuyuki & Cao, Cong & Appelbaum, Richard, 2014. "Observing regional divergence of Chinese nanotechnology centers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 11-21.
    5. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    6. Chih-Hao Wang & Na Chen, 2021. "A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths," Transportation, Springer, vol. 48(4), pages 1967-1986, August.
    7. Padovano, Fabio & Petrarca, Ilaria, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," European Journal of Political Economy, Elsevier, vol. 34(C), pages 459-477.
    8. Daniel A. Griffith & Manfred M. Fischer & James LeSage, 2017. "The spatial autocorrelation problem in spatial interaction modelling: a comparison of two common solutions," Letters in Spatial and Resource Sciences, Springer, vol. 10(1), pages 75-86, March.
    9. Fabio Salamanca-Buentello & Mary V Seeman & Abdallah S Daar & Ross E G Upshur, 2020. "The ethical, social, and cultural dimensions of screening for mental health in children and adolescents of the developing world," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-25, August.
    10. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
    11. Giuseppe Espa & Giuseppe Arbia & Diego Giuliani, 2013. "Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan," Journal of Geographical Systems, Springer, vol. 15(1), pages 31-50, January.
    12. Nicodemo, Catia & Satorra, Albert, 2020. "Exploratory Data Analysis on Large Data Sets: The Example of Salary Variation in Spanish Social Security Data," IZA Discussion Papers 13459, Institute of Labor Economics (IZA).
    13. Manfred M. Fischer & Nico Pintar & Benedikt Sargant, 2016. "Austrian Outbound Foreign Direct Investment in Europe:A spatial econometric study," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 10(1), pages 1-22, JUNE.
    14. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 419-436, October.
    15. Kaixing Huang & Wenshou Yan & Jikun Huang, 2020. "Agricultural subsidies retard urbanisation in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1308-1327, October.
    16. Samantha Leorato & Maura Mezzetti, 2015. "Spatial Panel Data Model with error dependence: a Bayesian Separable Covariance Approach," CEIS Research Paper 338, Tor Vergata University, CEIS, revised 09 Apr 2015.
    17. Mohl, Philipp & Hagen, Tobias, 2011. "Do EU structural funds promote regional employment? Evidence from dynamic panel data models," Working Paper Series 1403, European Central Bank.
    18. Daniel A. Griffith & Manfred M. Fischer, 2016. "Constrained Variants of the Gravity Model and Spatial Dependence: Model Specification and Estimation Issues," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 37-66, Springer.
    19. Cristina LINCARU & Vasilica CIUCA & Draga ATANASIU, 2015. "THE TENDENCY IDENTIFICATION OF OVERALL CLUSTERING OF REGISTERED UNEMPLOYMENT AT TERRITORIAL ADMINISTRATIVE UNIT LEVEL - UAT2 IN ROMANIA (International Conference “EUROPEAN PERSPECTIVE OF LABOR MARKET ," Institute for Economic Forecasting Conference Proceedings 141104, Institute for Economic Forecasting.
    20. Zhonghua Huang & Xuejun Du, 2017. "Strategic interaction in local governments’ industrial land supply: Evidence from China," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1328-1346, May.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tse:wpaper:125949. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tsetofr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.