Multifractal portrayal of the distribution of the Swiss population
Details
Serval ID
serval:BIB_CD42050CF024
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Multifractal portrayal of the distribution of the Swiss population
Title of the conference
Proceedings of Spatial Analysis and GEOmatics
Publisher
Unité de Geomatique, Université de Liège, Belgium
Address
Liège
ISBN
978-2-9601273-0-0
Publication state
Published
Issued date
2012
Editor
Billen R., Binard M., Hallot P., Donnay J.P.
Pages
392-407
Language
english
Notes
Vega-Orozco2012a
Abstract
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).
Create date
25/11/2013 18:18
Last modification date
20/08/2019 16:47
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