HIGH RESOLUTION GLOBAL GRIDDED DATA FOR USE IN POPULATION STUDIES

9 citations as recorded by crossref.

1. Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets C. Lloyd et al. https://doi.org/10.1080/20964471.2019.1625151
2. The Coupling between Urban Expansion and Population Growth: An Analysis of Urban Agglomerations in China (2005–2020) Q. Huang & Y. Liu https://doi.org/10.3390/su13137250
3. Know Where You Go: Infestation Dynamics and Potential Distribution of Two Bed Bug Species (Hemiptera: Cimicidae) in Africa D. Mbuta et al. https://doi.org/10.3390/insects16040395
4. Tracking Seamless All-Hour PM2.5 in China Using a Gridded Surface Visibility-Based Transformer Model X. Zhang et al. https://doi.org/10.1021/acs.est.6c00079
5. Estimating Hilly Areas Population Using a Dasymetric Mapping Approach: A Case of Sri Lanka’s Highest Mountain Range A. Karunarathne & G. Lee https://doi.org/10.3390/ijgi8040166
6. Urban Heat Island Formation in Greater Cairo: Spatio-Temporal Analysis of Daytime and Nighttime Land Surface Temperatures along the Urban–Rural Gradient D. Athukorala & Y. Murayama https://doi.org/10.3390/rs13071396
7. Brain Tumor Segmentation Using Generative Adversarial Networks A. Ali et al. https://doi.org/10.1109/ACCESS.2024.3450593
8. Spatial Optimization of Mega-City Fire Stations Based on Multi-Source Geospatial Data: A Case Study in Beijing W. Wang et al. https://doi.org/10.3390/ijgi10050282
9. Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods M. Sasanami et al. https://doi.org/10.1186/s44263-025-00161-x