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Functional Regionalisation of Spatial Interaction Data. An Evaluation of Some Suggested Strategies

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  • I Masser

    (Department of Town and Regional Planning, University of Sheffield, Sheffield S10 2TB, England)

  • J Scheurwater

    (Instituut voor Planologie, Rijksuniversiteit Utrecht, Utrecht 2506, The Netherlands)

Abstract

Three alternative approaches (the functional distance approach, the iterative proportional fitting based procedure and the intramax procedure) to the functional regionalisation of spatial interaction data are compared and evaluated in this paper. After a general discussion of the basic properties of each approach, the detailed processes that are involved in each case are illustrated by reference to a worked example. The last section of the paper presents the findings obtained by each of these approaches as a result of empirical studies of Greater London, Merseyside, and the Netherlands. The study as a whole identifies a number of ambiguities in the existing literature which point to the need for a more rigorous examination of current methodology. They also suggest that more attention needs to be given to the role that is played by aggregation procedures as against data transformation procedures in the evaluation process. Although each user must decide which of the three methods best suits his particular purposes, the results obtained by means of the intramax procedure seem generally more readily interpretable than those obtained by either of the other two methods.

Suggested Citation

  • I Masser & J Scheurwater, 1980. "Functional Regionalisation of Spatial Interaction Data. An Evaluation of Some Suggested Strategies," Environment and Planning A, , vol. 12(12), pages 1357-1382, December.
    • Handle: RePEc:sae:envira:v:12:y:1980:i:12:p:1357-1382
    DOI: 10.1068/a121357
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    Cited by:

    1. Frank Corvers & Maud Hensen & Dion Bongaerts, 2009. "Delimitation and Coherence of Functional and Administrative Regions," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 19-31.
    2. Kauffmann, Albrecht, 2012. "Delineation of City Regions Based on Commuting Interrelations: The Example of Large Cities in Germany," IWH Discussion Papers 4/2012, Halle Institute for Economic Research (IWH).
    3. Chakraborty, A. & Beamonte, M.A. & Gelfand, A.E. & Alonso, M.P. & Gargallo, P. & Salvador, M., 2013. "Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 292-307.
    4. Drobne Samo & Bogataj Marija, 2014. "Regions for Servicing Old People: Case study of Slovenia," Business Systems Research, Sciendo, vol. 5(3), pages 19-36, September.
    5. Robert J. Stimson & William Mitchell & David Rohde & Paul Shyy, 2011. "Using functional economic regions to model endogenous regional performance in Australia: implications for addressing the spatial autocorrelation problem," Regional Science Policy & Practice, Wiley Blackwell, vol. 3(3), pages 131-144, August.
    6. Fischer, Manfred M. & Essletzbichler, Jürgen & Gassler, Helmut & Trichtl, Gerhard, 1992. "Telephone Communication Patterns in Austria A Comparison of the IPFP based Graph-Theoretic and the Intramax Approaches," MPRA Paper 77826, University Library of Munich, Germany.

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