2024Journal article

Unraveling Near Real-Time Spatial Dynamics of Population Using Geographical Ensemble Learning

Song, Y., Wu, S., Chen, B., & Bell, M. L.

International Journal of Applied Earth Observation and Geoinformation, 130, 103882

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Research question

How can population distribution be mapped at fine spatial and hourly temporal resolution?

Geographic scope

China · national hourly mapping

Evidence base

Multi-source geospatial data and geographical ensemble learning

Approach

The framework combines physical and social geographic variables with automated and geographically weighted ensemble learning to address spatial non-stationarity.

Why it matters

Near real-time population surfaces can support exposure assessment, transport planning and emergency response more directly than static census maps.

Research connections

Where this paper sits in the lab’s research system