Multifractal portrayal of the Swiss population

Détails

ID Serval
serval:BIB_068A70AA912C
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Multifractal portrayal of the Swiss population
Périodique
ArXiv preprint
Auteur(s)
Vega-Orozco C., Golay J., Kanevski M.
Statut éditorial
Publié
Date de publication
2013
Pages
1-17
Langue
anglais
Résumé
Fractal geometry is a fundamental approach for describing the complex
irregularities of the spatial structure of point patterns. The present
research characterizes the spatial structure of the Swiss population
distribution in the three Swiss geographical regions (Alps, Plateau
and Jura) and at the entire country level. These analyses were carried
out using fractal and multifractal measures for point patterns, which
enabled the estimation of the spatial degree of clustering of a distribution
at different scales. The Swiss population dataset is presented on
a grid of points and thus it can be modelled as a "point process"
where each point is characterized by its spatial location (geometrical
support) and a number of inhabitants (measured variable). The fractal
characterization was performed by means of the box-counting dimension
and the multifractal analysis was conducted through the Renyi's generalized
dimensions and the multifractal spectrum. Results showed that the
four population patterns are all multifractals and present different
clustering behaviours. Applying multifractal and fractal methods
at different geographical regions and at different scales allowed
us to quantify and describe the dissimilarities between the four
structures and their underlying processes. This paper is the first
Swiss geodemographic study applying multifractal methods using high
resolution data.
Création de la notice
25/11/2013 17:23
Dernière modification de la notice
20/08/2019 12:28
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