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Enhancing the Accuracy and Currency of Population Distribution Data: Emerging Advances in Geocomputation

Amy Rose
Geographic Information Science & Technology Group
Oak Ridge National Laboratory
Friday, February 17th    2:30-3:30pm



Human population distribution data are a fundamental component in a wide variety of research areas including resource management, policy analysis, risk analysis, epidemiology, crisis mitigation, and emergency preparedness. High spatial resolution and time-variant population dynamics greatly enhance the analytical capability for numerous applications and are essential for successfully addressing key issues such as good governance, poverty reduction strategies, and prosperity in social, economic, and environmental health. Recent population research advances at Oak Ridge National Laboratory (ORNL) apply novel spatial data analysis, integrate accurate settlement delineation and characterization extracted from current high-resolution imagery, incorporate locally derived demographic information, and exploit high performance computing algorithms and infrastructure to create rapid representations of population distributions globally. In this talk I will discuss the ongoing development of high resolution population distribution and dynamics models that draw on multivariate data fusion methods and the exploitation of very high resolution satellite imagery. Specific examples will cover existing research efforts that address identifying population distribution in space and time, delineating geographic variability of population densities with respect to settlement structures, and demographic and activity characterization through image driven analysis.


Amy Rose is the Team Lead for Population Distribution and Dynamics in the Geographic Information Science and Technology (GIST) group at Oak Ridge National Laboratory (ORNL), and also serves as the Population and Land Use Theme Lead for the ORNL Urban Dynamics Institute (UDI). More recently she was appointed an ORNL Joint Faculty Assistant Professor in the Department of Industrial and Systems Engineering at the University of Tennessee. Her work is focused on geocomputational methods to characterize the spatiotemporal and demographic patterns of human populations to inform a variety of applications including urban resiliency, human health and security, and climate change impacts. Dr. Rose is currently the program manager for the LandScan Population Distribution project, and is also focused on developing a global building characterization to support consequence assessment and disaster planning.