2022Journal article
Dynamic Population Mapping with AutoGluon
Urban Informatics, 1(1), 13
Read publication ↗Research question
Can automated machine learning improve scalable dynamic population mapping?
Geographic scope
China · dynamic gridded population
Evidence base
Automated machine learning and multi-source spatial data
Approach
AutoGluon is used to compare and ensemble models linking population signals with a wide range of physical and social geographic predictors.
Why it matters
The work reduces dependence on a single manually selected model and provides a reproducible route toward dynamic population surfaces.
Research connections