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@article{1473419, author = {Halás, Marián and Klapka, Pavel and Erlebach, Martin}, article_number = {7}, doi = {http://dx.doi.org/10.1080/00343404.2018.1537483}, keywords = {spatial uncertainty, functional regions, fuzziness, membership index, travel-to-work flows, Czech Republic}, issn = {0034-3404}, journal = {Regional Studies}, note = {Žádný z autorů nemá afiliaci k MU, nelze tedy výsledek přenášet do RIV.}, title = {Unveiling spatial uncertainty: a method to evaluate the fuzzy nature of functional regions}, url = {https://www.tandfonline.com/doi/full/10.1080/00343404.2018.1537483}, volume = {53}, year = {2019} }
TY - JOUR ID - 1473419 AU - Halás, Marián - Klapka, Pavel - Erlebach, Martin PY - 2019 TI - Unveiling spatial uncertainty: a method to evaluate the fuzzy nature of functional regions JF - Regional Studies VL - 53 IS - 7 SP - 1029 - 1041 EP - 1029 - 1041 SN - 00343404 N1 - Žádný z autorů nemá afiliaci k MU, nelze tedy výsledek přenášet do RIV. KW - spatial uncertainty, functional regions, fuzziness, membership index, travel-to-work flows, Czech Republic UR - https://www.tandfonline.com/doi/full/10.1080/00343404.2018.1537483 N2 - 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. ER -
HALÁS, Marián, Pavel KLAPKA and Martin ERLEBACH. Unveiling spatial uncertainty: a method to evaluate the fuzzy nature of functional regions. \textit{Regional Studies}. 2019, vol.~53, No~7, p.~1029 - 1041. ISSN~0034-3404. Available from: https://dx.doi.org/10.1080/00343404.2018.1537483.
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