The morphology of built-up landscapes in ...
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
The morphology of built-up landscapes in wallonia (Belgium) : a classification using fractal indices
Auteur(s) :
Titre de la revue :
Landscape and Urban Planning
Numéro :
84
Pagination :
99-115
Éditeur :
Elsevier
Date de publication :
2008
ISSN :
0169-2046
Mot(s)-clé(s) :
Fractal dimension
Built-up geometry
Pattern analysis
Peri-urbanisation
Belgium
Built-up geometry
Pattern analysis
Peri-urbanisation
Belgium
Discipline(s) HAL :
Sciences de l'Homme et Société/Géographie
Résumé en anglais : [en]
The spatial pattern of built-up areas within a NUTS-1 European region (Wallonia in Belgium) is analysed using fractal indices. Methodologically, this paper illustrates the usefulness of fractal indices in measuring built-up ...
Lire la suite >The spatial pattern of built-up areas within a NUTS-1 European region (Wallonia in Belgium) is analysed using fractal indices. Methodologically, this paper illustrates the usefulness of fractal indices in measuring built-up morphologies, and also shows that clustering techniques have to be adapted for the non-Euclidean nature of the fractal measurements. An expectation maximisation algorithm (EM) combined with a Bayesian information criterion (BIC) is used. Empirically, we show that fractal indices partition the region into sub-areas that do not correspond to "natural landscapes" but result from the history of urbanisation. Urban sprawl seems to affect most communes, even the remotest villages: traditional (compact, ribbon, etc.) villages are transformed into more complex and heterogeneous shapes. These indices seem to be useful for characterising and understanding the built landscapes, as well as for modelling and planning urban realities.Lire moins >
Lire la suite >The spatial pattern of built-up areas within a NUTS-1 European region (Wallonia in Belgium) is analysed using fractal indices. Methodologically, this paper illustrates the usefulness of fractal indices in measuring built-up morphologies, and also shows that clustering techniques have to be adapted for the non-Euclidean nature of the fractal measurements. An expectation maximisation algorithm (EM) combined with a Bayesian information criterion (BIC) is used. Empirically, we show that fractal indices partition the region into sub-areas that do not correspond to "natural landscapes" but result from the history of urbanisation. Urban sprawl seems to affect most communes, even the remotest villages: traditional (compact, ribbon, etc.) villages are transformed into more complex and heterogeneous shapes. These indices seem to be useful for characterising and understanding the built landscapes, as well as for modelling and planning urban realities.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Date de dépôt :
2020-06-08T14:11:10Z