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
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

20230081

Références

Sci Rep. 2022 Oct 7;12(1):16820
pubmed: 36207460
Nat Commun. 2022 Jan 12;13(1):288
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pubmed: 12346252
Proc Math Phys Eng Sci. 2019 Jan;475(2221):20180615
pubmed: 30760964
J R Soc Interface. 2023 Aug;20(205):20230081
pubmed: 37608714
Phys Rev E. 2017 Sep;96(3-1):032307
pubmed: 29346908
Phys Rev Lett. 2011 Feb 4;106(5):058101
pubmed: 21405438
Proc Natl Acad Sci U S A. 2022 Oct 25;119(43):e2118156119
pubmed: 36256813
Proc Natl Acad Sci U S A. 2022 Apr 26;119(17):e2117776119
pubmed: 35446711

Auteurs

Gezhi Xiu (G)

School of Earth and Space Sciences, Peking University, Beijing, People's Republic of China.
Centre for Complexity Sciences and Department of Mathematics, Imperial College London, London, UK.

Huanfa Chen (H)

Centre for Advanced Spatial Analysis (CASA), University College London, London, UK.

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Classifications MeSH