Yongwan Chun

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

An Efficient Solving Approach for the p‐Dispersion Problem Based on the Distance‐Based Spatially Informed Property 2024 - Journal Article

Delineating Housing Submarkets Using Space–Time House Sales Data: Spatially Constrained Data-Driven Approaches 2023 - Journal Article

Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic 2023 - Journal Article

Location Planning of Emergency Medical Facilities using the p-Dispersed-Median Modeling Approach 2023 - Other

Location Planning of Emergency Medical Facilities Using the p-Dispersed-Median Modeling Approach 2023 - Journal Article

Some useful details about the Moran coefficient, the Geary ratio, and the join count indices of spatial autocorrelation 2022 - Journal Article

Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach 2022 - Journal Article

A Moran eigenvector spatial filtering specification of entropy measures 2022 - Journal Article

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]

Eigenvector selection with stepwise regression techniques to construct spatial filters

2009–2009 The 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

2008–2008 The 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

2009–2009 The 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

2008–2008 The 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

2009–2009 The 105th Annual Meeting of the Association of American Geographers, Las Vegas, Nevada, March 26 (Chun and Griffith).

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)

GIS Researchers Receive Grant to Explore Spatial Data Error

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.

GIS Researchers Receive Grant to Explore Spatial Data Error

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.

New Analysis Method Uncovers Factors in Vehicle Burglary Rates

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.

New Analysis Method Uncovers Factors in Vehicle Burglary Rates

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.