Validating Global Gridded Population Datasets Using Dam Resettlement Data
2025-03-21
Researchers assessed the accuracy of five global gridded population datasets (GWP, GRUMP, GHS-POP, LandScan, and WorldPop) in predicting rural populations using data from the International Commission on Large Dams (ICOLD) database. They spatially overlaid resettlement data from 307 reservoirs with the population datasets, revealing systematic biases. The study improved prediction accuracy by adjusting for area biases in GeoDAR reservoir polygons. Results showed that while biases exist, these datasets offer reasonable accuracy in predicting rural populations, providing valuable insights for future research.