Mapping hourly population dynamics using remotely sensed and geospatial data: a case study in Beijing, China
High spatiotemporal population data are critical for a wide range of applications (e.g.urban planning and management, risk assessment, and epidemic control).However, such data are still not widely available due to the limited knowledge of complex human activities.Here we proposed a spatiotemporal downscaling framework for estimating hourly populati