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Unravelling the variations of the society of England and Wales through diffusion mapping analysis of census 2011

Xiu, Gezhi; Chen, Huanfa; (2023) Unravelling the variations of the society of England and Wales through diffusion mapping analysis of census 2011. Journal of the Royal Society. Interface , 20 (205) , Article 20230081. 10.1098/rsif.2023.0081. Green open access

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Abstract

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.

Type: Article
Title: Unravelling the variations of the society of England and Wales through diffusion mapping analysis of census 2011
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rsif.2023.0081
Publisher version: https://doi.org/10.1098/rsif.2023.0081
Language: English
Additional information: © 2023 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, census, manifold learning, localization, urban sciences, SPATIAL ASSOCIATION
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10176369
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