A new deep-mapping computer model can detect visual changes to individual properties, allowing researchers to more-rapidly track gentrification within neighborhoods and cities, according to a study published March 13, 2019 in the open-access journal PLOS ONE by Lazar Ilic, Michael Sawada, and Amaury Zarzelli of the University of Ottawa, Canada.
* This article was originally published here
