Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Y Chun, DA Griffith Sage Publications Limited, 2012 | 151* | 2012 |
Modeling network autocorrelation within migration flows by eigenvector spatial filtering Y Chun Journal of Geographical Systems 10 (4), 317-344, 2008 | 133 | 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 | 116 | 2011 |
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 | 80 | 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 | 63 | 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 (1), 67-85, 2016 | 51 | 2016 |
Analyzing space–time crime incidents using eigenvector spatial filtering: an application to vehicle burglary Y Chun Geographical Analysis 46 (2), 165-184, 2014 | 49 | 2014 |
Exploring urban commuting imbalance by jobs and gender C Kim, S Sang, Y Chun, W Lee Applied Geography 32 (2), 532-545, 2012 | 46 | 2012 |
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 | 43 | 2012 |
Package ‘Spdep’: Spatial dependence: Weighting schemes, statistics and models R Bivand, M Altman, L Anselin, R Assunção, O Berke, A Bernat, ... R package version 0.5–88 www. cran. r-project. org, 2015 | 42 | 2015 |
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 | 41 | 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 (2), 337-365, 2015 | 36 | 2015 |
Spatial autocorrelation and uncertainty associated with remotely-sensed data DA Griffith, Y Chun Remote Sensing 8 (7), 535, 2016 | 26 | 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 | 26 | 2016 |
Visualizing migration flows using kriskograms N Xiao, Y Chun Cartography and Geographic Information Science 36 (2), 183-191, 2009 | 24 | 2009 |
Network reliability and resilience of rapid transit systems H Kim, C Kim, Y Chun The Professional Geographer 68 (1), 53-65, 2016 | 22 | 2016 |
Geographical Analysis: Its First 40 Years DA Griffith, Y Chun, ME O'Kelly, BJL Berry, RP Haining, MP Kwan Geographical Analysis 45 (1), 1-27, 2013 | 21 | 2013 |
Uncertainty-related research issues in spatial analysis DA Griffith, DW Wong, Y Chun Uncertainty modelling and quality control for spatial data 3, 2015 | 17 | 2015 |
A quality assessment of eigenvector spatial filtering based parameter estimates for the normal probability model Y Chun, DA Griffith Spatial Statistics 10, 1-11, 2014 | 16 | 2014 |
The effects of different classification models on error propagation in land cover change detection D Liu, Y Chun International Journal of Remote Sensing 30 (20), 5345-5364, 2009 | 15 | 2009 |