High-resolution population modeling (1)

Type: Paper
Theme: Hazards, Geography, and GIScience
Sponsor Groups: Population Specialty Group, Health and Medical Geography Specialty Group
Poster #:
Day: 4/14/2018
Start / End Time: 8:00 AM / 9:40 AM (MDT)
Room: Napoleon A3, Sheraton, 3rd Floor
Organizers: Peng Jia, Andrea Gaughan
Chairs: Peng Jia


The demands for spatially-explicit population products in various fields continue to increase, especially in urban areas where population distribution patterns are highly heterogeneous. As a variety of finer geographical data become available to the public, a wider range of options for working with Geographic Information Systems (GIS) in conjunction with census data closely follows. One common approach for creating gridded population products involves dasymetric mapping, which redistributes census counts bounded at an administrative level onto higher-resolution spatial units and improves on traditional choropleth maps by increasing the spatial variation and accuracy in which data are mapped to a surface. Dasymetric mapping techniques may incorporate various ancillary data and range in sophistication from the use of areal weighting to more involved statistical approaches. Continually refining and improving on these methods is important for creating spatially-explicit information about variables of interest (i.e. human population counts) that subsequently inform studies on populations at risk, transportation patterns, healthcare resource allocation, and emergency management. In the meanwhile, dasymetric mapping has also been limited by the availability, resolution and quality of ancillary data in the past. Remote sensing technology and high-resolution satellite imagery can provide a suitable solution for fine-scale population mapping by facilitating us to identify buildings footprints and removing other unpopulated lands, such as roads and green space. But opportunities of using information derived from high-resolution satellite imagery in dasymetric mapping have not been explored fully yet. This session aims to identify current gaps and challenges of producing high-resolution population products and explore future research opportunities of using more various, fine-scale ancillary data for precise population estimates.


Type Details Minutes Start Time
Presenter Peng Jia*, University of Twente - ITC, Rezaul Roni, University of Twente - ITC, Mariana Belgiu, University of Twente - ITC, Population modeling based on very-high-resolution (VHR) satellite data 20 8:00 AM
Presenter Joshua Comenetz*, U.S. Census Bureau, Advancing International Mapping at the U.S. Census Bureau 20 8:20 AM
Presenter April Morton*, Oak Ridge National Laboratory, Nicholas Nagle, University of Tennessee, Knoxville, Jesse Piburn, Oak Ridge National Laboratory, Robert N. Stewart, Oak Ridge National Laboratory, Samantha Duchscherer, Oak Ridge National Laboratory, UrbanPop: A high-resolution population model for estimating daytime and nighttime subpopulations across the United States 20 8:40 AM
Presenter Philip Reed*, University of Louisville, Forrest Stevens , Advisor, Andrea Gaughan, Advisor, Effectiveness of Remotely Snsed Built Areas in Constraining Gridded Population Estimates 20 9:00 AM
Presenter Amy Rose*, Oak Ridge National Laboratory, Eric Weber, Oak Ridge National Laboratory, Jake McKee, Oak Ridge National Laboratory, Budhendra Bhaduri, Oak Ridge National Laboratory, Robert Stewart, Oak Ridge National Laboratory, So, Where is Everybody? 20 9:20 AM

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