Books

2019, Griffith, Daniel A., Chun, Yongwan, and Bin Li, Spatial Regression Analysis Using Eigenvector Spatial Filtering, Cambridge, MA: Elsevier.

2017, Griffith, Daniel A., Chun, Yongwan, and Denis J. Dean, Advances in Geocomputation:
Geocomputation 2015The 13th International Conference, New York: Springer.

2013, Chun, Yongwan and Daniel A. Griffith, Spatial Statistics and Geostatistics:
Theory and Applications for Geographic Information Science and Technology, Thousand Oaks: SAGE Publications.
R code and data
Journal Papers

2019, Mainali, Janardan, Heejun Chang, and Yongwan Chun, A review of spatial statistical approaches to modeling water quality, Progress in Physical Geography, accepted.

2019, Griffith, Daniel A. and Yongwan Chun, Implementing Moran eigenvector spatial filtering for massively large georeferenced datasets, International Journal of Geographical Information Science, in press.

2019, Tardin, Rodrigo H., Yongwan Chun, Sheila M. Simão, Maria Alice S. Alves, Habitat use models of spatially autocorrelated data: a case study of the common bottlenose dolphin, Tursiops truncates truncatus, in southeastern Brazil, Marine Biology Research, accepted.

2019, Koo, Hyeongmo, David Wong, and Yongwan Chun, Measuring spatial autocorrelation with uncertainty information  a global perspective, The Professional Geographer, in press.

2019, Kim, Yushim and Yongwan Chun, Revisiting Environmental Inequity in Southern California: Does Environmental Risk Increase in Ethnically Homogeneous or Mixed Communities? Urban Studies, in press.

2019, Lee, Monghyeon, Yongwan Chun, and Daniel A. Griffith, An Evaluation of Kernel Smoothing to Protect Confidentiality of Patient Locations, International Journal of Urban Sciences, in press.

2019, Gaspard, Guetchine, Daehyun Kim, and Yongwan Chun, Residual spatial autocorrelation in macroecological and biogeographical modeling: A review, Journal of Ecology and Environment, 43, 9.

2019, Tardin, Rodrigo H., Yongwan Chun, Clinton N. Jenkins, Israel S. Maciel, Sheila M. Simão, Maria Alice S. Alves, Environment and anthropogenic activities influence cetacean habitat use in Southeastern Brazil, Marine Ecology Progress Series, 616, pp.197210.

2019, Lee, SangIl, Monghyeon Lee, Yongwan Chun, and Daniel A. Griffith, Uncertainty in the effects of the modifiable areal unit problem under different lvels of spatial autocorrelation: A simulation study, International Journal of Geographical Information Science, 33(6), pp. 11351154.

2018, Hu, Lan, Daniel A. Griffith, and Yongwan Chun, Spacetime statistical insights about geographic variation in lung cancer incidence rates: Florida, 20002011 International Journal of Environmental Research and Public Health, 15(11), 2406.

2018, Koo, Hyeongmo, Yongwan Chun, and Daniel A. Griffith, Modeling positional uncertainty acquired through street geocoding, International Journal of Applied Geospatial Research, 9(4), pp. 122.

2018, Chun, Yongwan and Daniel A. Griffith, Impacts of negative spatial autocorrelation on frequency distributions, Chilean Journal of Statistics, 9(1), pp. 317.

2018, Koo, Hyeongmo, Yongwan Chun, and Daniel A. Griffith, Integrating spatial data analysis functionalities in a GIS environment: Spatial Analysis using ArcGIS Engine and R (SAAR), Transactions in GIS, 22(3), pp. 721736.

2018, Lee, Monghyeon, Yongwan Chun, and Daniel A. Griffith, Errors propagation in spatial modeling of public health data: A simulation approach using pediatric blood lead level data for Syracuse, Environmental Geochemistry and Health, 40(2), pp. 667681.

2018, Koo, Hyeongmo, Yongwan Chun, and Daniel A. Griffith, Geovisualizing attribute uncertainty of interval and ratio variables: a framework and an implementation for vector data, Journal of Visual Languages and Computing, 44, pp. 8996.

2017, Rodrigo H. Tardin, Yongwan Chun, Sheila M. Simão, Maria Alice S. Alves, Modeling habitat use by Bryde's whale Balaenoptera edeni off southeastern Brazil, Marine Ecology Progress Series, 576, pp. 89103.

2017, Kim, Kamyoung, Yongwan Chun, and Hyun Kim, pFunctional clusters location problem for detecting spatial clusters with covering approach, Geographical Analysis, 49(1), pp. 101121.

2017, Koo, Hyeongmo, Yongwan Chun, and Daniel A. Griffith, Map classification incorporating uncertainty information, Annals of the American Association of Geographers, 107(3), pp. 575590.

2016, Griffith, Daniel A. and Yongwan Chun, Spatial autocorrelation and uncertainty associated with remotely sensed data, Remote Sensing, 8(7), 535.

2016, Kim, Kamyoung, Denis J. Dean, Hyun Kim, and Yongwan Chun, Spatial optimization for regionalization problems with spatial interaction: a heuristic approach, International Journal of Geographical Information Science, 30(3), pp. 451473.

2016, Griffith, Daniel A. and Yongwan Chun, Evaluating eigenvector spatial filter corrections for omitted georeferenced variables, Econometrics, 4(2), 29.

2016, Chun, Yongwan, Daniel A. Griffith, Monghyeon Lee, and Parmanand Sinha, Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters, Journal of Geographical Systems, 18(1), pp. 6785.

2016, Kim, Hyun, Changjoo Kim, and Yongwan Chun, Network Reliability and Resilience of Rapid Transit Systems: A Case Study of the Transit System in the Greater Metropolitan Area of Washington D.C., The Professional Geographer, 68(1), pp. 5365.

2015, An, Li, MingHsiang Tsou, Steve Crook, Yongwan Chun, Brian Spitzberg, Jean Mark Gawron, and Dipak Gupta, Spacetime analysis: Concepts, quantitative methods, and future directions, Annals of the Association of American Geographers, 105(5), pp. 891914.

2015, Gittner, Lisa S., Barbara Kilbourne, Katy Kilbourne, and Yongwan Chun, Climate Change and the Rise of Obesity, Jacobs Journal of Environmental Sciences, 1(2), 9.

2015, Griffith, Daniel A. and Yongwan Chun, Spatial autocorrelation in spatial interactions models: Geographic scale and resolution implications for network resilience and vulnerability, Networks and Spatial Economics, 15(2), pp. 337365.

2015, Kim, Hyun, Yongwan Chun, and Kamyoung Kim, Delimitation of functional regions using pregions problem approach, International Regional Science Review, 38(3), pp. 235263

2014, Griffith, Daniel A. and Yongwan Chun, An eigenvector spatial filtering contribution to short range regional population forecasting, Economics and Business Letters, 3(4), pp. 208217.

2014, Chun, Yongwan, Analyzing spacetime crime incidents using eigenvector spatial filtering: An application to vehicle burglary, Geographical Analysis, 46(2), pp. 165184.

2014, Chun, Yongwan and Daniel A. Griffith, A quality assessment of eigenvector spatial filtering based parameter estimates for the normal probability model, Spatial Statistics, 10, pp. 111.

2013, Kim, Yushim, Wei Zhong, and Yongwan Chun, Modeling Sanction Choices on Fraudulent Exchanges of Public Benefits, Journal of Artificial Societies and Social Simulation, 16(2), 8.

2013, Griffith, Daniel A., Yongwan Chun, Morton E. O'Kelly, Brian J. L. Berry, Robert P. Haining, and MeiPo Kwan, Geographical Analysis: Its first forty years, Geographical Analysis, 45(1), pp. 127.

2012, Chun, Yongwan, Hyun Kim, and Changjoo Kim, Modeling interregional commodity flows with incorporating network autocorrelation in spatial interaction models: An application of the U.S. interstate commodity flows, Computers, Environment and Urban Systems, 36(6), pp.583591.

2012, Chun, Yongwan, Yushim Kim, and Heather Campbell, Using Bayesian Methods to Control for Spatial Autocorrelation in Environmental Justice Research: An Illustration Using Toxics Release Inventory Data for a Sunbelt County, Journal of Urban Affairs, 34(4), pp. 419439.

2012, Kim, Changjoo, Sunhee Sang, Yongwan Chun, and Wook Lee, Exploring urban commuting imbalance by jobs and gender, Applied Geography, 32(2), pp. 532545.

2011, Chun, Yongwan and Daniel A. Griffith, Modeling network autocorrelation in spacetime migration flow data: An eigenvector spatial filtering approach, Annals of the Association of American Geographers, 101(3), pp. 523536.

2010, Qiu, Fang, Harini Sridharan, and Yongwan Chun, Spatial autoregressive model for population estimation at the census block level using LIDARderived building volume information, Cartography and Geographic Information Science, 37(3), pp. 239257.

2009, Liu, Desheng and Yongwan Chun, The effects of different classification models on error propagation in land cover change detection, International Journal of Remote Sensing, 30(20), pp. 53455364.

2009, Xiao, Ningchuan and Yongwan Chun, Visualizing migration flows using Kriskograms, Cartography and Geographic Information Science, 36(2), pp. 183191.

2008, Chun, Yongwan, Modeling network autocorrelation within migration flows by eigenvector spatial filtering, Journal of Geographical Systems, 10(4), pp. 317344.
 2008, Chun, Yongwan and Yoonhwan Park, Neighborhood effects and spatial patterns in urban crime: A case study of the City of Dallas, Texas, Journal of the Korean Urban Geographical Society, 11(1), pp. 8599.
 2007, Chun, Yongwan, A Bayesian approach to spatial interaction model with spatial random effects for origins and destinations: A case of internal migration within the city of Seoul, Journal of the Korean Urban Geographical Society, 10(1), pp. 103114.
 2004, Chun, Yongwan, The pattern of migration in Seoul, South Korea during 19952002, Journal of Geography Education, Seoul National University Press: Seoul, South Korea, 48, pp. 8799.
Book chapters

2018, Griffith, Daniel A. and Yongwan Chun, GIS and Spatial Statistics/Econometrics: An Overview, In B. Huang (ed.), Comprehensive Geographic Information Systems, Oxford, UK: Elsevier, pp. 126.

2018, Kim, Kanyoung, Hyun Kim, and Yongwan Chun, A robust heuristic approach for political districting problems, In S. Dragicevic and J.C. Thill (eds.), GeoComputational Analysis and Modeling of Regional Systems, Berlin: Springer, pp. 305324.

2017, Lee, Monghyeon, Yongwan Chun, and Daniel A. Griffith, Uncertainties on Spatial Data Analysis by Various Sources of error, In D.A. Griffith, Y. Chun, and D.J. Dean (eds.), Advances in Geocomputation: Geocomputation 2015The 13th International Conference, New York: Springer, pp. 303313.

2017, Sinha, Parmanand, Monghyeon Lee, Yongwan Chun, and Daniel A. Griffith, The statistical distribution of coefficients for constructing eigenvector spatial filters, In D.A. Griffith, Y. Chun, and D.J. Dean (eds.), Advances in Geocomputation: Geocomputation 2015The 13th International Conference, New York: Springer, pp. 295302.

2017, Parmentier, Benoit, Marco Millones, Daniel A. Griffith, Stuart E. Hamilton, Yongwan Chun , and Sean McFall, When space beats time: a proof of concept with hurricane Dean, In D.A. Griffith, Y. Chun, and D.J. Dean (eds.), Advances in Geocomputation: Geocomputation 2015The 13th International Conference, New York: Springer, pp. 207215.

2016, Lee, Monghyeon and Yongwan Chun, Residential mobility in a metropolitan area: A case study of Seoul metropolitan area, South Korea, In R. Patuelli and G. Arbia (eds.), Spatial Econometric Interaction Modelling, Springer International Publishing, pp. 441463.

2015, Griffith, Daniel A., David Wong, and Yongwan Chun, Uncertainty related research issues in spatial analysis, In J. Shi, B. Wu, and A. Stein (eds.), Uncertainty Modelling and Quality Control for Spatial Data, London: Taylor & Francis Group/CRC Press, pp. 311.

2014, Griffith, Daniel A. and Yongwan Chun, Spatial analysis of census mail response rates: 19902010, In M.P. Kwan, D. Richardsdon, D. Wang, and C. Zhou (eds.), SpaceTime Integration in Geography and GIScience: Research Frontiers in the US and China, Dordrecht: Springer, pp. 145156.

2014, Griffith, Daniel A. and Yongwan Chun, Spatial autocorrelation and spatial filtering, In M. Fischer and P. Nijkamp (eds.), Handbook of Regional Science, Berlin: SpringerVerlag, pp. 14771507.

2013, Chun, Yongwan, Network autocorrelation and spatial filtering, in T. Scherngell (ed.), The Geography of Networks and R&D collaborations, Springer International Publishing, pp. 99113.

2013, Kim, Hyun, Yongwan Chun, and C. Anderson, Crime scene locations in criminal homicides: A spatial crime analysis in a GIS environment, In M. Leitner (ed.), Crime Modeling and Mapping Using Geospatial Techonologies, Berlin: Dordrecht, pp. 181202.
Encyclopedia entries

2018, Chun, Yongwan and Hyun Kim, Network Defined, In J.P. Wilson (ed.), The Geographic Information Science & Technology Body of Knowledge, London: WileyBlackwell.

2017, Chun, Yongwan and Daniel A. Griffith, Measuring spatial dependence, In D. Richardson (ed.), The International Encyclopedia of Geography: People, the Earth, Environment, and Technology, London: WileyBlackwell, (forthcoming).

2017, Chun, Yongwan, Spatial statistical visualization, In S. Shekar and H. Hong (eds.), Encyclopedia of GIS, Second edition. New York: Springer, pp. 20722086.
Proceedings

2018, Lee, Monghyeon, Daniel A. Griffith, and Yongwan, Chun, The Impact of locational uncertainty on local geographic cluster detection: An application to cancer data from Florida, 20062010, in Y. Ge, X. Li, and G. Heuvelink (eds.), Proceedings of Spatial Accuracy 2018, Beijing, China, pp. 1824.

2016, Chun, Yongwan, Hyeongmo Koo, and Daniel A. Griffith, A comparison of optimal map classification methods incorporating uncertainty information, in JS Bailly, D. Griffith, and D. Josselin (eds.), Proceedings of Spatial Accuracy 2016, Avignon, France, pp. 177181.

2016, Griffith, Daniel A., Yongwan Chun, and Monghyeon Lee, Locational error impacts on local spatial autocorrelation indices: A Syracuse soil sample Pb level data case study, in JS Bailly, D. Griffith, and D. Josselin (eds.), Proceedings of Spatial Accuracy 2016, Avignon, France, pp. 131143.

2015, Griffith, Daniel A., Roger Bivand, and Yongwan Chun, Implementing approximations to extreme eigenvalues and eigenvalues of irregular surface partitionings for use in SAR and CAR Models, Procedia Environmental Sciences, 26, pp. 119122.

2015, Koo, Hyeongmo, Yongwan Chun, and Daniel A. Griffith, Geovisualization of Attribute Uncertainty, In Proceedings of the 13th International Conference on GeoComputation, pp. 230236.

2014, Chun, Yongwan and Daniel A. Griffith, Impacts of positional error on spatial statistics confidence intervals, In Proceedings of the 11th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences, pp. 4853.

2013, Lee, Monghyeon, Parmanand Sinha, Yongwan Chun, and Daniel A. Griffith, Eigenvector Selection for Eigenvector Spatial Filtering, In Proceedings of the 12th International Conference on GeoComputation.

2012, Chun, Yongwan and Daniel A. Griffith, On the quality of eigenvector spatial filtering based parameter estimates for the normal probability model: implications about uncertainty and specification error for georeferenced data, In Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences, pp. 16.

2008, Liu, Desheng and Yongwan Chun, Simulation analysis of error propagation on land cover change maps: A comparison of contextual and noncontextual models, In Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences, pp. 405411.
 2005, Chun, Yongwan, Roger Bivand, and Michael Tiefelsdorf, Using open source data analysis environments for prototyping modeling implementations for spatial data: weights in R, In Proceedings of the 8th International Conference on GeoComputation [CDRom], Ann Arbor, Michigan.
Book reviews
Contact Info
 Mail Address:
 Dr. Yongwan Chun
 School of Economic, Political and Policy Sciences
 University of Texas at Dallas
 800 W. Campbell Rd
 Richardson, Texas 750803021