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Unveiling spatial uncertainty: a method to evaluate the fuzzy nature of functional regions

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  • Marián Halás
  • Pavel Klapka
  • Martin Erlebach

Abstract

The evaluation of the level of spatial uncertainty builds theoretically on fuzzy set theory and the premise that the affinity of a basic spatial unit may assume values along a continuum between zero and full affinity. The paper briefly presents the motivation for the evaluation of fuzziness in functional regions based on daily travel-to-work flows. It discusses the existing measures of affinity and proposes a new approach to evaluate the fuzzy nature of functional regions. The proposed methodological innovations are tested using the example of the two-tier hierarchical system of functional regions in the Czech Republic.

Suggested Citation

  • Marián Halás & Pavel Klapka & Martin Erlebach, 2019. "Unveiling spatial uncertainty: a method to evaluate the fuzzy nature of functional regions," Regional Studies, Taylor & Francis Journals, vol. 53(7), pages 1029-1041, July.
    • Handle: RePEc:taf:regstd:v:53:y:2019:i:7:p:1029-1041
    DOI: 10.1080/00343404.2018.1537483
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    Cited by:

    1. Drobne Samo & Garre Alberto & Hontoria Eloy & Konjar Miha, 2020. "Comparison of Two Network-Theory-Based Methods for detecting Functional Regions," Business Systems Research, Sciendo, vol. 11(2), pages 21-35, October.
    2. Laurenţiu-Andrei Ilie & Laura Comănescu & Robert Dobre & Alexandru Nedelea & Ionuț Săvulescu & Ioana-Alexandra Bradea & Marcel Ioan Boloș, 2020. "Fuzzy Techniques for Artificial Snow Cover Optimization in the Ski Areas. Case Study: Obârșia Lotrului (Southern Carpathians, Romania)," Sustainability, MDPI, vol. 12(2), pages 1-13, January.

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