Literature DB >> 30760964

Manifold cities: social variables of urban areas in the UK.

Edmund Barter1, Thilo Gross1.   

Abstract

In the twenty-first century, ongoing rapid urbanization highlights the need to gain deeper insights into the social structure of cities. While work on this challenge can profit from abundant data sources, the complexity of this data itself proves to be a challenge. In this paper, we use diffusion maps, a manifold learning method, to discover hidden manifolds in the UK 2011 census dataset. The census key statistics and quick statistics report 1450 different statistical features for each census output area. Here, we focus primarily on the city of Bristol and the surrounding countryside, comprising 3490 of these output areas. Our analysis finds the main variables that span the census responses, highlighting that university student density and poverty are the most important explanatory variables of variation in census responses.

Keywords:  diffusion maps; manifold learning; science of cities; urban land use

Year:  2019        PMID: 30760964      PMCID: PMC6364608          DOI: 10.1098/rspa.2018.0615

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  1 in total

1.  Wireless localization with diffusion maps.

Authors:  Amin Ghafourian; Orestis Georgiou; Edmund Barter; Thilo Gross
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

  1 in total

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