Unravelling the variations of the society of England and Wales through diffusion mapping analysis of census 2011.
census
localization
manifold learning
urban sciences
Journal
Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
medline:
24
8
2023
pubmed:
23
8
2023
entrez:
23
8
2023
Statut:
ppublish
Résumé
We propose a new approach to identify geographical clustering and inequality hotspots from decadal census data, with a particular emphasis on the method itself. Our method uses diffusion mapping to study the 181 408 output areas in England and Wales (EW), which enables us to decompose the census data's EW-specific feature structures. We further introduce a localization metric, inspired by statistical physics, to reveal the significance of minority groups in London. Our findings can be adapted to analogous datasets, illuminating spatial patterns and differentiating within datasets, especially when meaning factors for determining the datasets' structure are scarce and spatially heterogeneous. This approach enhances our ability to describe and explore patterns of social deprivation and segregation across the country, thereby contributing to the development of targeted policies. We also underscore the method's intrinsic objectivity, guaranteeing its ability to offer comprehensive and unbiased analysis, unswayed by preconceived hypotheses or subjective interpretations of data patterns.
Identifiants
pubmed: 37608714
doi: 10.1098/rsif.2023.0081
pmc: PMC10445034
doi:
Banques de données
figshare
['10.6084/m9.figshare.c.6778069']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
20230081Références
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