most citedEstimating hourly population distribution change at high spatiotemporal resolution in urban areas using geo-tagged tweets, land use data, and dasymetric maps

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

physics.soc-ph2018★ 5 cited

Estimating hourly population distribution change at high spatiotemporal resolution in urban areas using geo-tagged tweets, land use data, and dasymetric maps

Ming-Hsiang Tsou, Hao Zhang, Atsushi Nara +1

This paper introduces a spatiotemporal analysis framework for estimating hourly changing population distribution in urban areas using geo-tagged tweets (the messages containing use…