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Seung-Jae Lee

Photo of Seung-Jae Lee

Seung-Jae Lee is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center.

Postdoctoral Researcher
On staff since 2008
Phone number: 303-275-4623
E-mail: sean_lee@nrel.gov

Analysis expertise

  • Modern geostatistics and space/time statistics
  • Spatial extrapolation and forecasting
  • Temporal GIS and numerical development of advanced mapping functions
  • Space/time modeling under uncertain environments

Primary research interests

  • Space/time mapping of renewable energy resources
  • Disaggregation of energy consumption and energy efficiency
  • Data uncertainty processing
  • Temporal GIS-based decision-support tools for integrated decision making
  • Monitoring site optimization

Education and background training

  • Ph.D. in environmental modeling, University of North Carolina at Chapel Hill, Chapel Hill, NC, 2005
  • M.S. in environmental engineering, Georgia Institute of Technology, Atlanta, GA, 2001
  • B.S. in environmental engineering, Korea University, Korea, 1999

Prior work experience

  • Adjunct Professor, School of Geographical Sciences, Arizona State University, Tempe, AZ (2006-2008)
  • Postdoctoral Research Associate, Decision Center for a Desert City, Arizona State University, Tempe, AZ (2006-2008)
  • Postdoctoral Research Associate, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC (2006)
  • Research Assistant, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC (2002-2005)

Selected publications

Lee, S.J., and E.A. Wentz, 2008. "Applying Bayesian Maximum Entropy to Extrapolating Local-Scale Water Consumption in Maricopa County," Arizona, Water Resources Research. 43. W01401 - doi:10.1029/2007WR006101.

Lee, S.J., R. Balling, and P. Gober, 2008. "Bayesian Maximum Entropy Mapping and the Soft Data in Urban Climate Research," Annals of the Association of American Geographers. 98(2): 309-322.

Lee, S.J., E.A. Wentz, and P. Gober, 2008. "Space-Time Forecasting Using Bayesian Maximum Entropy: A Case Study in Forecasting Municipal Water Demand for Phoenix, Arizona," Geographical Analysis, under review.

Brazel, A., P. Gober, S.J. Lee, S. Grossman-Clarke, J. Zehnder, B. Hedquist, and E. Comparri, 2007. "Determinants of Changes in the Regional Urban Heat Island in Metropolitan Phoenix ( Arizona, USA) between 1990 and 2004," Climate Research. 33. 171-182.

Serre, M.L., S.J. Lee, and K. Yeatts, 2006. "Accounting for the Observation Scale of Confidential Health Data to Study the Spatial Association between Childhood Asthma Prevalence and Air Pollutants in North Carolina." Epidemiology. 17(6): S288.


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