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Professional Preparation
PhD - Geography The Ohio State University - 2007
MAS - Statistics The Ohio State University - 2006
MA - Geography Education Seoul National University - 2002
BA - Geography Education Seoul National University - 1996
Research Areas
Research Interests
Geographic Information System
Geocomputation
Geovisualization
Spatial statistics and spatial econometrics
Migration and migration modeling
Network autocorrelation
Publications
Location Planning of Emergency Medical Facilities using the p-Dispersed-Median Modeling Approach 2023 - Other
Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic 2023 - Journal Article
Delineating Housing Submarkets Using Space–Time House Sales Data: Spatially Constrained Data-Driven Approaches 2023 - Journal Article
Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach 2022 - Journal Article
Some useful details about the Moran coefficient, the Geary ratio, and the join count indices of spatial autocorrelation 2022 - Journal Article
Incorporating spatial autocorrelation into house sale price prediction using random forest model 2022 - Journal Article
A Moran eigenvector spatial filtering specification of entropy measures 2022 - Journal Article
Measuring Local Spatial Autocorrelation with Data Reliability Information 2021 - Journal Article
Appointments
Assistant Professor The University of Texas at Dallas, Richardson [2009–Present]
Clinical Assistant Professor The University of Texas at Dallas, Richardson [2008–2009]
Postdoctoral Research Fellow The University of Texas at Dallas, Richardson [2007–2008]
Teaching/Research Assistant The Ohio State University [2002–2007]
Academic Administration Assistant Seoul National University [2001–2002]
GIS Analyst/Engineer ESRI Korea Inc. [1997–2001]
Projects
Eigenvector selection with stepwise regression techniques to construct spatial filters
2009–2009The 105th Annual Meeting of the Association of American Geographers, Las Vegas, Nevada, March 25 (Griffith and Chun).
The p-values of Local Moran's Ii to explore spatial patterns
2008–2008The 55th Annual North American Meetings of the Regional Science Association International, New York, New York, November 21 (Chun and Tiefelsdorf).
An examination of network autocorrelation on urban traffic volume
2009–2009The 105th Annual Meeting of the Association of American Geographers, Las Vegas, Nevada, March 25 (Kim, C. and Y. Chun).
Eigenvector selection with stepwise regression techniques to construct spatial filters
2008–2008The 55th Annual North American Meetings of the Regional Science Association International, New York, New York, November 21 (Griffith and Chun).
Modeling network autocorrelation in space-time panel data: An eigenvector spatial filtering approach
2009–2009The 105th Annual Meeting of the Association of American Geographers, Las Vegas, Nevada, March 26 (Chun and Griffith).
Additional Information
Professional Memberships
The Association of American Geographers
The Regional Science Association International
Korean-American Association for Geospatial and Environmental Sciences
Awards and Fellowships
EPPS Outstanding Teaching Comet Award, 2012-2013, School of Economic, Political and Policy Sciences, The University of Texas at Dallas.
First place, the Graduate Student Paper Competition, Spatial Analysis and Modeling Specialty Group, 2008, The 104th Annual Meeting of the Association of American Geographers, Boston, MA, April 19
Invited participant with travel grant, 2008, Student Forum on Science and Technology Policy sponsored by National Academies, Washington, DC, January 4-5
Recipient of the Summer Research Fund, 2007, Department of Geography, The Ohio State University, Columbus, Ohio
Professional activities and committees
Editorial Assistant, Geographical Analysis, 2008 - present Review Committee, Pixoneer Scholarship Awards, Korean-American Association for Geospatial and Environmental Sciences, 2009 Paper reviews: Cartography and Geographic Information Science: 2010 Computers & Geosciences: 2009 Stochastic Environmental Research and Risk Assessment: 2010 Urban Geography: 2009 Conference session chair Associations of American Geographers Annual Meeting: Boston (2008); Las Vegas (2009)
Two researchers in UT Dallas’ School of Economics, Political and Policy Sciences will explore uncertainty in spatial data with a grant awarded by the National Institutes of Health. The project focuses on documenting, visualizing and utilizing data error and uncertainty information in spatial analysis, said Dr. Daniel A. Griffith, Ashbel Smith Professor of geospatial information sciences (GIS) and the principal investigator. Dr. Yongwan Chun, an assistant professor of GIS, will serve as co-investigator on the project.
Two researchers in UT Dallas’ School of Economics, Political and Policy Sciences will explore uncertainty in spatial data with a grant awarded by the National Institutes of Health. The project focuses on documenting, visualizing and utilizing data error and uncertainty information in spatial analysis, said Dr. Daniel A. Griffith, Ashbel Smith Professor of geospatial information sciences (GIS) and the principal investigator. Dr. Yongwan Chun, an assistant professor of GIS, will serve as co-investigator on the project.
By applying a new method to modeling spatial patterns of crime, University of Texas at Dallas researcher Dr. Yongwan Chunanalyzed vehicle burglaries in Plano, Texas, and found factors associated with increased and decreased burglary rates. Chun, an assistant professor of geospatial information sciences (GIS) in the School of Economic, Political and Policy Sciences, used GIS data from the Plano Police Department to analyze the 17,549 vehicle burglaries that occurred from 2004 to 2009 in the Dallas suburb. The method Chun applied is an extension of eigenvector spatial filtering (ESF), which was originally developed by two UT Dallas GIS faculty members, Dr. Daniel Griffith and Dr. Michael Tiefelsdorf. Chun’s study was published online in Geographical Analysis in April.
By applying a new method to modeling spatial patterns of crime, University of Texas at Dallas researcher Dr. Yongwan Chunanalyzed vehicle burglaries in Plano, Texas, and found factors associated with increased and decreased burglary rates. Chun, an assistant professor of geospatial information sciences (GIS) in the School of Economic, Political and Policy Sciences, used GIS data from the Plano Police Department to analyze the 17,549 vehicle burglaries that occurred from 2004 to 2009 in the Dallas suburb. The method Chun applied is an extension of eigenvector spatial filtering (ESF), which was originally developed by two UT Dallas GIS faculty members, Dr. Daniel Griffith and Dr. Michael Tiefelsdorf. Chun’s study was published online in Geographical Analysis in April.