The demands for spatially-explicit population products in various fields continue to increase. Besides dasymetric mapping, remote sensing technology, and high-resolution satellite imagery which can provide a suitable solution for fine-scale population mapping, many other cutting-edge approaches are emerging for population estimation. We welcome these papers to be presented in this session.
|Presenter||Edwin Chow*, Texas State University - San Marcos, Small Area Population Modeling||20||10:00 AM|
|Presenter||Parmanand Sinha*, University of Louisville, Andrea Gaughan, University of Louisville, Forrest Stevens, University of Louisville, Spatial Sampling and Sensitivity of Random Forest Model in Gridded Population Modeling||20||10:20 AM|
|Presenter||Eleojo Abubakar*, School of Geography, Politics and Sociology; Newcastle University, UK, Adetayo Kasim, Wolfson Research Institute for Health and Wellbeing, Durham University, UK, Alison Copeland, School of Geography, Politics and Sociology; Newcastle University, UK, Kathryn Manzo, School of Geography, Politics and Sociology, Newcastle University, UK, The Estimation of Small-Area Population Characteristics for Healthcare Planning in Nigeria||20||10:40 AM|
|Presenter||Georgianna Strode*, Florida State University/FREAC, Victor Mesev, Florida State University, High-resolution dasymetric population estimation using property tax records, census group quarters, and the US National Grid||20||11:00 AM|
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