Multifractal portrayal of the distribution of the Swiss population
Détails
ID Serval
serval:BIB_CD42050CF024
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Multifractal portrayal of the distribution of the Swiss population
Titre de la conférence
Proceedings of Spatial Analysis and GEOmatics
Editeur
Unité de Geomatique, Université de Liège, Belgium
Adresse
Liège
ISBN
978-2-9601273-0-0
Statut éditorial
Publié
Date de publication
2012
Editeur⸱rice scientifique
Billen R., Binard M., Hallot P., Donnay J.P.
Pages
392-407
Langue
anglais
Notes
Vega-Orozco2012a
Résumé
The present research studies the spatial patterns of the distribution
of the Swiss population (DSP). This description is carried out using
a wide variety of global spatial structural analysis tools such as
topological, statistical and fractal measures, which enable the estimation
of the spatial degree of clustering of a point pattern. A particular
attention is given to the analysis of the multifractality to characterize
the spatial structure of the DSP at different scales. This will be
achieved by measuring the generalized q-dimensions and the singularity
spectrum. This research is based on high quality data of the Swiss
Population Census of the Year 2000 at a hectometric resolution (grid
100 x 100 m) issued by the Swiss Federal Statistical Office (FSO).
of the Swiss population (DSP). This description is carried out using
a wide variety of global spatial structural analysis tools such as
topological, statistical and fractal measures, which enable the estimation
of the spatial degree of clustering of a point pattern. A particular
attention is given to the analysis of the multifractality to characterize
the spatial structure of the DSP at different scales. This will be
achieved by measuring the generalized q-dimensions and the singularity
spectrum. This research is based on high quality data of the Swiss
Population Census of the Year 2000 at a hectometric resolution (grid
100 x 100 m) issued by the Swiss Federal Statistical Office (FSO).
Création de la notice
25/11/2013 17:18
Dernière modification de la notice
20/08/2019 15:47
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