Understanding urban gentrification through machine learning.

Recent developments in the field of machine learning offer new ways of modelling complex socio-spatial processes, allowing us to make predictions about how and where they might manifest in the future. Drawing on earlier empirical and theoretical attempts to understand gentrification and urban change...

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Bibliographic Details

Published in:	Urban Studies (Sage Publications, Ltd.) Vol. 56; no. 5; pp. 922 - 943
Main Authors:	Reades, Jonathan, De Souza, Jordan, Hubbard, Phil
Format:	Article
Published:	Sage Publications, Ltd. Apr2019
Subjects:	London (England) Gentrification Urban renewal Neighborhood change Census Machine learning Random forest algorithms Social conditions in England
Online Access:	View this record in EBSCOhost