Clustering Patterns of Urban Built-up Areas with Curves of Fractal Scaling Behaviour

Isabelle Thomas, Pierre Frankhauser, Benoit Frenay and Michel Verleysen
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Pierre Frankhauser: THEMA (CNRS UMR 6049), Université de Franche-Comté, Besançon, France
Benoit Frenay: Machine Learning Group, Université catholique de Louvain, Louvain-la-Neuve, Belgium
Michel Verleysen: Machine Learning Group, Université catholique de Louvain, Louvain-la-Neuve, Belgium; and SAMOS-MATISSE, Université Paris 1 Panthéon-Sorbonne, Paris, France

Environment and Planning B, 2010, vol. 37, issue 5, 942-954

Abstract: Fractal dimension is an index which can be used to characterize urban areas. The use of the curve of scaling behaviour is less common. However, its shape gives local information about the morphology of the built-up area. This paper suggests a method based on a k -medoid for clustering these curves. It is applied to forty-nine wards of European cities, and shows that the curves add interesting intraward information to our knowledge of the spatial variation of the urban texture. Moreover, morphological similarities are observed between cities: living, architectural, and planning trends are not specific to individual cities.

Date: 2010
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Citations: View citations in EconPapers (17)

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Working Paper: Clustering patterns of urban-built-up areas with curves of fractal scaling behaviour (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:37:y:2010:i:5:p:942-954

DOI: 10.1068/b36039

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