| spdep: Spatial Dependence: Weighting Schemes R Bivand, M Altman, L Anselin, R Assunção, O Berke, A Bernat, ... Statistics and Models. R package version 0.4-17, 2008 | 424 | 2008 |
| Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Y Chun, DA Griffith Sage Publications Limited, 2012 | 198 | 2012 |
| Modeling network autocorrelation within migration flows by eigenvector spatial filtering Y Chun Journal of Geographical Systems 10, 317-344, 2008 | 180 | 2008 |
| Modeling network autocorrelation in space–time migration flow data: An eigenvector spatial filtering approach Y Chun, DA Griffith Annals of the Association of American Geographers 101 (3), 523-536, 2011 | 166 | 2011 |
| Spatial autocorrelation and spatial filtering D Griffith, Y Chun Handbook of regional science, 1477-1507, 2014 | 122 | 2014 |
| Space–time analysis: Concepts, quantitative methods, and future directions L An, MH Tsou, SES Crook, Y Chun, B Spitzberg, JM Gawron, DK Gupta Annals of the Association of American Geographers 105 (5), 891-914, 2015 | 118 | 2015 |
| Spatial autoregressive model for population estimation at the census block level using LIDAR-derived building volume information F Qiu, H Sridharan, Y Chun Cartography and Geographic Information Science 37 (3), 239-257, 2010 | 86 | 2010 |
| Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters Y Chun, DA Griffith, M Lee, P Sinha Journal of Geographical Systems 18, 67-85, 2016 | 85 | 2016 |
| Residual spatial autocorrelation in macroecological and biogeographical modeling: a review G Gaspard, D Kim, Y Chun Journal of Ecology and Environment 43 (1), 1-11, 2019 | 76 | 2019 |
| Exploring urban commuting imbalance by jobs and gender C Kim, S Sang, Y Chun, W Lee Applied Geography 32 (2), 532-545, 2012 | 66 | 2012 |
| Analyzing space–time crime incidents using eigenvector spatial filtering: an application to vehicle burglary Y Chun Geographical Analysis 46 (2), 165-184, 2014 | 65 | 2014 |
| Modeling interregional commodity flows with incorporating network autocorrelation in spatial interaction models: An application of the US interstate commodity flows Y Chun, H Kim, C Kim Computers, Environment and Urban Systems 36 (6), 583-591, 2012 | 65 | 2012 |
| Spatial regression analysis using eigenvector spatial filtering D Griffith, Y Chun, B Li Academic Press, 2019 | 59 | 2019 |
| Delimitation of Functional Regions Using a p-Regions Problem Approach H Kim, Y Chun, K Kim International Regional Science Review 38 (3), 235-263, 2015 | 59 | 2015 |
| Spatial autocorrelation in spatial interactions models: geographic scale and resolution implications for network resilience and vulnerability DA Griffith, Y Chun Networks and Spatial Economics 15, 337-365, 2015 | 56 | 2015 |
| Spatial autocorrelation and uncertainty associated with remotely-sensed data DA Griffith, Y Chun Remote Sensing 8 (7), 535, 2016 | 47 | 2016 |
| Spatial optimization for regionalization problems with spatial interaction: a heuristic approach K Kim, DJ Dean, H Kim, Y Chun International Journal of Geographical Information Science 30 (3), 451-473, 2016 | 41 | 2016 |
| A review of spatial statistical approaches to modeling water quality J Mainali, H Chang, Y Chun Progress in Physical Geography: Earth and Environment 43 (6), 801-826, 2019 | 38 | 2019 |
| Package “spdep” Spatial Dependence: Weighting Schemes, Statistics and Models R Bivand, M Altman, L Anselin, R Assunção, O Berke, A Bernat, ... | 36 | 2011 |
| Network reliability and resilience of rapid transit systems H Kim, C Kim, Y Chun The Professional Geographer 68 (1), 53-65, 2016 | 35 | 2016 |
