POI composition from Google Maps predicts census-sector income in São Paulo with held-out R2 of 0.65, supporting POIs as a low-cost, high-frequency intercensal proxy.
D., Sowell, J., and Pérez-Ortiz, M
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Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil
POI composition from Google Maps predicts census-sector income in São Paulo with held-out R2 of 0.65, supporting POIs as a low-cost, high-frequency intercensal proxy.