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Researchers César A. Hidalgo, Elisa Castañer, and Andres Sevtsuk created a computer model to predict the mix of businesses and places of interest found in a given neighborhood. The team used data from the Google Places API service to help identify hotels, supermarkets, and other businesses and map their locations. This approach has some limits-data from Places API tend to be restricted to places that are customer facing-but the data set nonetheless provides an extremely reliable source to study colocation patterns of neighborhood amenities.