Deep mapping gentrification in a large Canadian city using deep learning and Google Street View

Gentrification is multidimensional and complex, but there is general agreement that visible changes to neighbourhoods are a clear manifestation of the process. Recent advances in computer vision and deep learning provide a unique opportunity to support automated mapping or 'deep mapping' o...

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Vydané v:	PloS one Ročník 14; číslo 3; s. e0212814
Hlavní autori:	Ilic, Lazar, Sawada, M., Zarzelli, Amaury
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 13.03.2019 Public Library of Science (PLoS)
Predmet:	Analysis Artificial neural networks Biology and Life Sciences Building permits Canada Cities - statistics & numerical data Computer and Information Sciences Computer vision Deep Learning Digital mapping Earth Sciences Ecology and Environmental Sciences Engineering and Technology Geographic Mapping Geospatial data Humans Metropolitan areas Research and Analysis Methods Residence Characteristics Social Change Social Sciences Spatial Analysis Canada Cities United Kingdom
ISSN:	1932-6203, 1932-6203
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