Books
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2021, Chun, Yongwan, Mei-Po Kwan, and Daniel A. Griffith, Uncertainty and Context in GIScience and Geography:
Challenges in the Era of Geospatial Big Data, Routledge.
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2019, Griffith, Daniel A., Yongwan Chun, and Bin Li, Spatial Regression Analysis Using Eigenvector Spatial Filtering, London, UK: Elsevier.
Data and R code.
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2017, Griffith, Daniel A., Yongwan Chun, and Denis J. Dean, Advances in Geocomputation:
Geocomputation 2015-The 13th International Conference, New York: Springer.
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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
(* indicates advisees at the time of research conducted)
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2024, Kim, Dongeun*, Yongwan Chun, and Daniel A. Griffith, Impacts of spatial imputation on location-allocation problem solutions, Spatial Statistics, 60, 100810.
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2023, Oh, Changwha, Yongwan Chun, and Hyun Kim, Location Planning of Emergency Medical Facilities Using the p-Dispersed-Median Modeling Approach, ISPRS International Journal of Geo-Information, 12(12), 497.
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2023, Lee, Changho*, Daniel A. Griffith, Yongwan Chun, and Hyun Kim, Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median problem using the ALTERN heuristic, Spatial Statistics, 56, 100768.
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2023, Chen, Meifang*, Yongwan Chun, and Daniel A. Griffith, Delineating housing submarkets using space-time house sales data: Spatially constrained data-driven approaches, Journal of Risk and Financial Management, 16, 291.
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2023, Griffith, Daniel A., Yongwan Chun, and Hyun Kim, The Majority Theorem for the Single (p = 1) Median Problem and Local Spatial Autocorrelation, Geographical Analysis, 55, pp. 107-124.
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2023, Yang, Jiaxin, Yumin Chen, John Wilson, Yongwan Chun, Yuejun Chen, and Hexg Su, A zero-inflated spatiotemporal analysis for snowpack variations and influence of environmental factors in the Northern Hemisphere, Journal of Hydrology, 616, 128760.
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2022, Chun, Yongwan and Kamyoung Kim, Temporal changes in the urban system in South Korea, Frontiers in Sustainable Cities, 4, 1013465.
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2022, Griffith, Daniel A. and Yongwan Chun, Some Useful Details about the Moran Coefficient, the Geary Ratio, and the Join Count Indices of Spatial Autocorrelation, Journal of Spatial Econometrics, 3(1), 12.
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2022, Hu, Lan*, Yongwan Chun, and Daiel A. Griffith, Incorporating spatial autocorrelation into house sale price prediction using random forests model, Transactions in GIS, 26(5), pp. 2123-2144.
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2022, Jung, Yeondae*, Yongwan Chun, and Kamyoung Kim, Modeling crime density with population dynamics in space and time: an application of assault in Gangnam, South Korea, Crime and Delinquency, 68(2), pp. 253-283.
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2022, Griffith, Daniel A., Yongwan Chun, and Hyun Kim, Spatial autocorrelation informed approaches to solving location-allocation problems, Spatial Statistics, 50, 100612.
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2022, Chea, Heewon, Hyun Kim, Shih-Lung Shaw, and Yongwan Chun, Assessing trauma center accessibility for healthcare equity using an anti-covering approach, International Journal of Environmental Research and Public Health, 19(3), 1459.
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2022, Griffith, Daniel A., Yongwan Chun, and Jan Hauke, A Moran eigenvector spatial filtering specification of spatial entropy, Papers in Regional Science, 101(1), pp. 259-279.
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2021, Donegan, Connor*, Yongwan Chun, and Daniel A. Griffith, Modeling community health with areal data: Bayesian inference with survey standard errors and spatial structure, International Journal of Environmental Research and Public Health, 18(13), 6859.
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2021, Koo, Hyeongmo, Yongwan Chun, and David Wong, Measuring local spatial autocorrelation with data reliability information, The Professional Geographer, 73(3), pp. 464-480.
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2021, Griffith, Daniel A. and Yongwan Chun, Soil sample assay uncertainty and the geographic distribution of contaminants: Error impacts on Syracuse trace metal soil loading analysis results, International Journal of Environmental Research and Public Health, 18(10), 5164.
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2021, Zhang, Huijie, Li An, Richard Bilsborrow, Yongwan Chun, Shuang Yang, and Jie Dai, Neighborhood impacts on household participation in payments for ecosystem services programs: Methodological exploration, Journal of Geographical Sciences, 31(6), pp. 899-922.
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2021, Griffith, Daniel A., Yongwan Chun, and Monghyeon Lee*, Deeper Spatial Statistical Insights into Small Geographic Area Data Uncertainty, International Journal of Environmental Research and Public Health, 18(1), 231.
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2020, Jung, Yeondae*, Yongwan Chun, and Daniel A. Griffith, Temperature and Assault in an Urban Environment: An Empirical Study in the City of Seoul, South Korea, Applied Geography, 124, 102340.
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2020, Hu, Lan*, Yongwan Chun, and Daniel A. Griffith, Uncovering a positive and negative spatial autocorrelation mixture pattern: a spatial analysis of breast cancer incidences in Broward County, Florida, 2000-2010, Journal of Geographical Systems, 22(3), pp. 291-308.
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2020, Donegan, Connor*, Yongwan Chun, and Amy E. Hughes, Bayesian estimation of spatial filters with Moran's eigenvectors and hierarchical shrinkage priors, Spatial Statistics, 38, 100450.
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2020, Hu, Lan*, Daniel A. Griffith, and Yongwan Chun, Impacts of Spatial Autocorrelation in Georeferenced Beta and Multinomial Random Variables, Geographical Analysis, 52(2), pp. 278-298.
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2020, Koo, Hyeongmo*, Monghyeon Lee*, Yongwan Chun, and Daniel A. Griffith, Space-time clusters detection with the cross space-time relative risk function, Cartography and Geographic Information Science, 47(1), pp. 67-78.
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2019, Mainali, Janardan, Heejun Chang, and Yongwan Chun, A review of spatial statistical approaches to modeling water quality, Progress in Physical Geography, 43(6), pp. 801-826.
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2019, Hu, Lan*, Yongwan Chun, and Daniel A. Griffith, A multilevel eigenvector spatial filtering model of house prices: a case study of house sales in Fairfax County, Virginia, ISPRS International Journal of Geo-Information, 8(11), 508.
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2019, Koo, Hyeongmo*, David Wong, and Yongwan Chun, Measuring Global Spatial Autocorrelation with Data Reliability Information,The Professional Geographer, 71(3), pp. 551-565.
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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, 23(3), pp. 335-351.
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2019, Tardin, Rodrigo H., Yongwan Chun, Sheila M. Simão, Maria Alice S. Alves, Habitat use models of spatially auto-correlated data: a case study of the common bottlenose dolphin, Tursiops truncates truncatus, in southeastern Brazil, Marine Biology Research, 15(4), pp. 305-316.
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2019, Kim, Yushim and Yongwan Chun, Revisiting Environmental Inequity in Southern California: Does Environmental Risk Increase in Ethnically Homogeneous or Mixed Communities? Urban Studies, 56(9), pp. 1748-1767.
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2019, Griffith, Daniel A. and Yongwan Chun, Implementing Moran eigenvector spatial filtering for massively large georeferenced datasets, International Journal of Geographical Information Science, 33(9), pp. 1703-1717.
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2019, Gaspard, Guetchine, Daehyun Kim, and Yongwan Chun, Residual spatial autocorrelation in macroecological and biogeographical modeling: A review, Journal of Ecology and Environment, 43, 19.
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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.197-210.
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2019, Lee, Sang-Il, 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. 1135-1154.
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2018, Hu, Lan*, Daniel A. Griffith, and Yongwan Chun, Space-time statistical insights about geographic variation in lung cancer incidence rates: Florida, 2000-2011 International Journal of Environmental Research and Public Health, 15(11), 2406.
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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. 1-22.
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2018, Chun, Yongwan and Daniel A. Griffith, Impacts of negative spatial autocorrelation on frequency distributions, Chilean Journal of Statistics, 9(1), pp. 3-17.
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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. 721-736.
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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. 667-681.
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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. 89-96.
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2017, Tardin, Rodrigo H., 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. 89-103.
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2017, Kim, Kamyoung, Yongwan Chun, and Hyun Kim, p-Functional clusters location problem for detecting spatial clusters with covering approach, Geographical Analysis, 49(1), pp. 101-121.
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2017, Koo, Hyeongmo*, Yongwan Chun, and Daniel A. Griffith, Map classification incorporating uncertainty information, Annals of the American Association of Geographers, 107(3), pp. 575-590.
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2016, Griffith, Daniel A. and Yongwan Chun, Spatial autocorrelation and uncertainty associated with remotely sensed data, Remote Sensing, 8(7), 535.
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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. 451-473.
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2016, Griffith, Daniel A. and Yongwan Chun, Evaluating eigenvector spatial filter corrections for omitted georeferenced variables, Econometrics, 4(2), 29.
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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. 67-85.
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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. 53-65.
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2015, An, Li, Ming-Hsiang Tsou, Steve Crook, Yongwan Chun, Brian Spitzberg, Jean Mark Gawron, and Dipak Gupta, Space-time analysis: Concepts, quantitative methods, and future directions, Annals of the Association of American Geographers, 105(5), pp. 891-914.
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2015, Gittner, Lisa S., Barbara Kilbourne, Katy Kilbourne, and Yongwan Chun, Climate Change and the Rise of Obesity, Jacobs Journal of Environmental Sciences, 2(1), 6.
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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. 337-365.
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2015, Kim, Hyun, Yongwan Chun, and Kamyoung Kim, Delimitation of functional regions using p-regions problem approach, International Regional Science Review, 38(3), pp. 235-263
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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. 208-217.
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2014, Chun, Yongwan, Analyzing space-time crime incidents using eigenvector spatial filtering: An application to vehicle burglary, Geographical Analysis, 46(2), pp. 165-184.
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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. 1-11.
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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.
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2013, Griffith, Daniel A., Yongwan Chun, Morton E. O'Kelly, Brian J. L. Berry, Robert P. Haining, and Mei-Po Kwan, Geographical Analysis: Its first forty years, Geographical Analysis, 45(1), pp. 1-27.
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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.583-591.
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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. 419-439.
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2012, Kim, Changjoo, Sunhee Sang, Yongwan Chun, and Wook Lee, Exploring urban commuting imbalance by jobs and gender, Applied Geography, 32(2), pp. 532-545.
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2011, Chun, Yongwan and Daniel A. Griffith, Modeling network autocorrelation in space-time migration flow data: An eigenvector spatial filtering approach, Annals of the Association of American Geographers, 101(3), pp. 523-536.
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2010, Qiu, Fang, Harini Sridharan, and Yongwan Chun, Spatial autoregressive model for population estimation at the census block level using LIDAR-derived building volume information, Cartography and Geographic Information Science, 37(3), pp. 239-257.
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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. 5345-5364.
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2009, Xiao, Ningchuan and Yongwan Chun, Visualizing migration flows using Kriskograms, Cartography and Geographic Information Science, 36(2), pp. 183-191.
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2008, Chun, Yongwan, Modeling network autocorrelation within migration flows by eigenvector spatial filtering, Journal of Geographical Systems, 10(4), pp. 317-344.
- 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. 85-99.
- 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. 103-114.
- 2004, Chun, Yongwan, The pattern of migration in Seoul, South Korea during 1995-2002, Journal of Geography Education, Seoul National University Press: Seoul, South Korea, 48, pp. 87-99.
Book chapters
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2021, Koo, Hyeongmo and Yongwan Chun, GIS Science: Addressing Aggregation and Uncertainty, in M. Rosenberg, S. Lovell, and S. Coen (eds.), Handbook of Methodologies in Human Geography, London: Routledge, forthcoming.
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2021, Griffith, Daniel A. and Yongwan Chun, Spatial autocorrelation and Moran eigenvector spatial filtering, in M. Fischer and P. Nijkamp (eds.), Handbook of Regional Science, 2nd edition, Berlin: Springer-Verlag, pp. 1863-1894.
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2019, Griffith, Daniel A., Yongwan Chun, Marco Millones, Benoit Parmentier, and Stuart E. Hamilton, Hurricane Rita's impact on vegetation: a spatio-temporal statistical approach to characterize abrupt change in, and potential disaster management for, target areas, in N. Valcik and D. Dean (eds.), Geospatial Information System Use in Public Organizations, London, UK: Routledge, pp. 13-24.
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2019, Lee, Monghyeon*, Daniel A. Griffith, and Yongwan Chun, The urban hierarchy and spatial relationships between poverty and cancer: does location error matter?, In in I. Vojnovic, A. Pearson, G. Asiki, G. DeVerteuil, and A. Allen (eds.), Handbook of Global Urban Health, New York: Routledge, pp. 394-410.
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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. 1-26.
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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. 305-324.
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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 2015-The 13th International Conference, New York: Springer, pp. 303-313.
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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 2015-The 13th International Conference, New York: Springer, pp. 295-302.
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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 2015-The 13th International Conference, New York: Springer, pp. 207-215.
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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. 441-463.
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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. 3-11.
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2014, Griffith, Daniel A. and Yongwan Chun, Spatial analysis of census mail response rates: 1990-2010, In M.-P. Kwan, D. Richardsdon, D. Wang, and C. Zhou (eds.), Space-Time Integration in Geography and GIScience: Research Frontiers in the US and China, Dordrecht: Springer, pp. 145-156.
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2014, Griffith, Daniel A. and Yongwan Chun, Spatial autocorrelation and spatial filtering, In M. Fischer and P. Nijkamp (eds.), Handbook of Regional Science, Berlin: Springer-Verlag, pp. 1477-1507.
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2013, Chun, Yongwan, Network autocorrelation and spatial filtering, in T. Scherngell (ed.), The Geography of Networks and R&D collaborations, Springer International Publishing, pp. 99-113.
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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. 181-202.
Encyclopedia entries
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2019, Griffith, Daniel A. and Chun, Yongwan, Spatial Statistics, In E. Wohl (ed.), Bibliographies in Environmental Science, New York: Oxford University Press.
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2018, Chun, Yongwan and Hyun Kim, Network Defined, In J.P. Wilson (ed.), The Geographic Information Science & Technology Body of Knowledge, London: Wiley-Blackwell.
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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: Wiley-Blackwell.
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2017, Chun, Yongwan, Spatial statistical visualization, In S. Shekar and H. Hong (eds.), Encyclopedia of GIS, Second edition. New York: Springer, pp. 2072-2086.
Proceedings
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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, 2006-2010, in Y. Ge, X. Li, and G. Heuvelink (eds.), Proceedings of Spatial Accuracy 2018, Beijing, China, pp. 18-24.
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2016, Chun, Yongwan, Hyeongmo Koo, and Daniel A. Griffith, A comparison of optimal map classification methods incorporating uncertainty information, in J-S Bailly, D. Griffith, and D. Josselin (eds.), Proceedings of Spatial Accuracy 2016, Avignon, France, pp. 177-181.
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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 J-S Bailly, D. Griffith, and D. Josselin (eds.), Proceedings of Spatial Accuracy 2016, Avignon, France, pp. 131-143.
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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. 119-122.
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2015, Koo, Hyeongmo, Yongwan Chun, and Daniel A. Griffith, Geovisualization of Attribute Uncertainty, In Proceedings of the 13th International Conference on GeoComputation, pp. 230-236.
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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. 48-53.
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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.
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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. 1-6.
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2008, Liu, Desheng and Yongwan Chun, Simulation analysis of error propagation on land cover change maps: A comparison of contextual and non-contextual models, In Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences, pp. 405-411.
- 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 [CD-Rom], Ann Arbor, Michigan.
Book reviews
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2020, Chun, Yongwan, A review of GIS: An Introduction to Mapping Technologies (P. McHaffie, S. Hwang, and C. Follett, 2019, Boca Raton, FL: CRC Press), International Journal of Geographical Information Science, 34(7), pp. 1500-1501.
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2009, Chun, Yongwan, A joint review of Encyclopedia of Geographic Information Science (K. Kemp ed., 2008), and Encyclopedia of GIS (S. Shekar and H. Hong eds., 2008), Annals of the Association of American Geographers, 99(3), pp. 635-636.
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 75080-3021