Posted July 10, 20177 yr Heady stuff. Computer vision uncovers predictors of physical urban change Computer vision algorithms were able to find predictors of urban improvement, using millions of Google Street View images to measure how urban areas are changing, consistent with current theories, suggesting that such algorithms can be used to explore the dynamics of urban change with other methods. We find that both education and population density predict improvements in neighborhood infrastructure, in support of theories of human capital agglomeration. http://www.pnas.org/content/early/2017/07/05/1619003114.full
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