Jay Lee

My research interests include relating geographic events and patterns through spatial and temporal factors. This includes quantitatively modeling changing geographic events as diffusing spatial processes. This may be applied to many aspects of our daily life: land use, air pollution, crime, public health, and how all these interact with the environment. Some of my publications and research grants have involved digital elevation models, environmental conservation, GIS, web-based GIS, urban growth, urban sprawl, management of urban growth and areal health disparities. Recent work includes developing a urban growth simulator, an environmental pollution simulator, and a urban crime simulator. Currently, my team is developing simulator that uses agent-based models to simulate how neighborhoods develop disparities in public health. A short-term project is to systematically extend spatial analytics to spatiotemporal analytics.

Recent Publications (Updated: July 2022)

• 2024 Peng, Y., Z. Chen, and J. Lee. Agricultural green total factor productivity in Shandong Province of China. German Journal of Agricultural Economics, 73(2), 1-25, http://doi.org/10.52825/.

• 2023 Yankey, O., J. Lee, R. Gardenhire, and E. Borawski. Neighborhood racial segregation predict the spatial distribution of supermarkets and grocery stores better than socioeconomic factors in Cleveland, Ohio: A Bayesian Spatial Approach. Journal of Racial and Ethnic Health Disparities, http://doi.org/10.1007/s40615-023-01669-4.

• 2023 Lee, J. (ed.) Spatiotemporal Analytics. CRC Press. 254p. ISBN 978 10323 0 3055.

• 2022 Peng, Y., H. Lin, and J. Lee. Analyzing the mechanism of spatial-temporal change of green total factor productivity in Yangtze Delta Region of China. Environment, Development and Sustainability. http://doi.org/10.1007/s10668-022-02662-3.

• 2022 Lin. H. and J. Lee. The influence of MATUP on identifying spatiotemporal emerging clusters on public health issues: Cases of dengue fever and lung cancer. In F. Farugue (ed.) Geospatial Technology for Human Well-Being and Health, pp. 281-298. Springer: Cham. http://doi.org/10.1007/978-3-030-71377-5.

• 2022 Lin, H., J. Lee, and G. Fruits. The spatial non-stationarity in modeling crime and health: A case study of Akron, Ohio. In F. Farugue (ed.) Geospatial Technology for Human Well-Being and Health, pp. 299-310. Springer. http://doi.org/10.1007/978-3-030-71377-5.

  2022 Li, E., Y. Xu, S. Ren, and J. Lee. Spin-offs, Innovation Spillover, and the Formation of Agricultural Clusters: The Case of the Vegetation Cluster in Shouguang City, Shangdong Province, China. Land, 11. https://doi.org/10.3390/land11020279.

• 2021 Dang, L., P. Pang, X. Zuo, Y. Lin, and J. Lee. A Dual-Path Small Convolution Network for Hyperspectral Image Classification. Remote Sensing. https://doi.org/10.3390/rs13173411.

• 2021 Yankey, O., P. M. Amegbor, and J. Lee. The Effect of Sociodemographic Factors on the Risk of Poor Mental Health in Akron (Ohio): A Bayesian Hierarchical Spatial Analysis. Spatial and Spatio-temporal Epidemiology.38. https://doi.org/10.1016/j.sste.2021.100438.

• 2021 Chi, Q., S. Zhou, L. Wang, M. Zhu, D. Liu, W. Tang, Y. Cui, and J. Lee. Exploring the Eco-Climatic Effects of Land Use Changes in the Influence Area of the Yellow River Basin from 2000 to 2015. Land, 10, 601. https://doi.org/10.3390/land10060601.

• 2021 Li, C., X. Wu, J. Lee et al. Interaction of Climate and Socio-Ecological Environment Drives the Dengue Outbreak in Epidemic Region of China. PLOS Neglected Tropic Diseases. https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0009761.

• 2021 Lee, J., S. Li, S. Wang, J. Wang, and J. Li. Spatio-Temporal Nearest neighbor Index for Measuring Space-Time Clustering among Geographic Events. Papers in Applied Geography. https://doi.org/10.1080/23754931.2020.1810112.
• 2021 Xu, S., J. Lee., et al. Effects of Vegetation Restoration on Accumulation and Translocation of Heavy Metals in Post-Mining Areas. Land Degradation & Development. https://doi.org/10.1002/ldr.3861. 2020 Dang, L., P. Pang, and J. Lee. Depth-wise Separable Convolution Neural Network with Residual Connection for Hyperspectral Image Classification. Remote Sensing. https://doi.org/10.3390/rs12203408.

• 2020 Dang, L., P. Pang, and J. Lee. Depth-wise Separable Convolution Neural Network with Residual Connection for Hyperspectral Image Classification. Remote Sensing. https://doi.org/10.3390/rs12203408.

• 2020 Peng, Y., Z. Chen, J. Xu and J. Lee. Analysis of Green Total Factor Productivity Trend and Its Determinants for the Countries along Silk Road. Growth and Change. https://doi.org/10.1111/grow.12435

• 2020 Lee, J., J. Li, S. Li, J. Wang, and S. Wang. Spatio-Temporal Nearest Neighbor Index for Measuring Space-Time Clustering among Geographic Events. Papers in Applied Geography. https://doi.org/10.1080/23754931.2020.1810112.

• 2020 Gong, J., J. Lee, S. Zhou, and S. Li. Toward measuring the level of spatiotemporal clustering of multi-categorical geographic events. International Journal of Geo-Information. http://doi.org/10.3390/ijgi9070440.

• 2020 Zhao, H. and J. Lee. The feasibility of consumer RGB camera drones in evaluating multi-temporal vegetation status of a selected area: A technical note. Papers in Applied Geography. http://doi.org/10.1080/23754931.2020.1782974.

• 2020 Chen, Z. and J. Lee. Exploring the effects of public attention and distance decay over online social networks. Papers in Applied Geography. https://doi.org/10.1080/23754931.2020.1787861.
• 2020 Peng, Y., Z. Chen, and J. Lee. Dynamic convergence of green total factor productivity in Chinese cities. Sustainability, 12(12), 4883. https://doi.org/10.3390/su12124883.
• 2020 Jing, Z., P. Liu, T. Wang, H. Song, J. Lee, T. Xu, and Y. Xing. Effects of meteorological factors and anthropogenic precursors on PM_2.5 concentrations in cities in China. Sustainability, 12(9), 3550. https://doi.org/10.3390/su12093550.
• 2020 Zhang, P., Y. Zhang, J. Lee, Y. Li, W. Geng, T. Rong, Y. Liu, J. Shao, and B. Li. Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO2 Emission Based on Niche Theory: Taking Henan Province as an Example. Sustainability, 12, 1389.  https://doi.org/10.3390/su12041389.
• 2019 Yuan, H., Y. Feng, J. Lee, H. Liu, R. Li. The spatial threshold effect and its regional boundary of financial agglomeration on green development: A case study in China. Journal of Cleaner Production 244, 1-16. https://doi.org/10.1016/j.jclepro.2019.118670.
• 2019 Xiang, H., J. Li, and J. Lee. Balancing Population Distribution and Sustainable Economic Development in Yangtze river Economic Belt of China. Sustainability, 11(12), 3320-3328. http://doi.org/10.3390/su11123320.
• 2019 Dang, L., Z. Chen, J. Lee, M. H. Tsou, & X. Ye. Simulating the Spatial Diffusion of Memes on Social Media Networks. International Journal of Geographical Information Science, 33(8), 1545-1568. http://doi.org/10.1080/13658816.2019.1591414.
• 2019 Thebpanya, P., S. L. Hatfield, and J. Lee. Visualizing Dialect Variation on a 3-D Interpolated Map: A Case Study in Chiang Mai, Thailand. In S. Brunn & R. Kehrein (eds.) Handbook of the Changing World Language Map. Springer, Cham. http://doi.org/10.1007/978-3-319-73400-2_90-1.
• 2019 Lee, J., J. Qiao, & D. Han. GIS in Linguistic Research: An Overview. In Bo Huang (ed.), Comprehensive Geographic Information Systems, 3, 152-156. Oxford: Elsevier. http://doi.org/10.1016/B978-0-12-409548-9.09662-7.
• 2018 Gong, J., S. W. Li, & J. Lee. Space, Time, and Disease on Social Media: A Case Study of Dengue Fever in China. Geomatica, 72(4), 112-126. http://doi.org/10.1139/geomat-2018-0016.
• 2018 Dang, L. X. & J. Lee. Internet GIS. SAGE Encyclopedia of the Internet. SAGE. http://doi.org/10.4135/9781473960367.n147.
• 2018 Lee, J. & S. W. Li. Reply to Comment by Dr. Daniel Griffith on J. Lee & S. W. Li (2017), Extending Moran's Index for Measruing Spatiotemporal Clustering of Geographic Events. Geographic Analysis, 49, 36-37. http://doi.org/10.1111/gean.12167.
• 2018 Shi, X., B. Xue, M. Tsou, X. Ye, B. Spitzberg, J. Gawron, H. Corliss, J. Lee, & R. Jin. Detecting Events from the Social Media through Exemplar-Enhanced Supervised Learning. International Journal of Digital Earth, 1-15. https://www.tandfonline.com/doi/full/10.1080/17538947.2018.1502369.
• 2018 Wang, Z., X. Ye, J. Lee, X. Chang, H. Liu, & Q. Li. Spatial Econometric Modeling of Online Social Interactions Using Microblogs. Computers, Environment, and Urban Systems, 70, 53-58. http://doi.org/10.1016/j.compenvurbsys.2018.02.001.
• 2018 Huang, L., Y. Wen, X. Ye, C. Zhou, F. Zhang, & J. Lee. Analysis of Spatiotemporal Trajectories for Stops along Taxi Paths. Spatial Cognition & Computation, 1-23. https://doi.org/10.1080/13875868.2017.1418360.
• 2018 Zhang, P., J. Lee, G. Kang, Y. Li, D. Yang, B. Pang, Y. Zhang. Disparity of Nitrate and Nitrite in vivo in Cancer Village as Compared to Other Areas in Huai River Basin, China. Science of Total Environment, 612(15), 966-974. http://doi.org/10.1016/j.scitotenv.2017.08.245.
• 2018 Ye, X., L. Dang, J. Lee, and M. Tsou. Open source social network simulator focusing on spatial meme diffusion. In S. Shaw and D. Sui (eds.) Human Dynamics Research in Smart and Connected Communities, pp. 203-222. Springer: Cham. http://doi.org/10.1007/978-3-319-73247-3.
• 2017 Li, S.W., X. Ye, & J. Lee. Spatiotemporal Analysis of Housing Prices in China: A Big Data Perspective. Applied Spatial Analysis, 10, 421-433. http://doi.org/10.1007/s12061-016-9185-3.
• 2017 Lee, J., J. Gong, & S. W. Li. Exploring Spatiotemporal Clusters Based on Extended Kernel Estimation Methods. International Journal of Geographical Information Science, 31(6), 1154-1177. https://www.tandfonline.com/doi/full/10.1080/13658816.2017.1287371
• 2017 Lee, J. & X. Ye. An Open Source spatiotemporal Model for Simulating Obesity Prevalence. In J. Thill & S. Dragicevic (eds.) GeoCompuational Analysis and Modeling of Regional Systems, 395-410. Springer's Series on Advances in Geographic Information Science. http://doi.org/10.1007/978-3-319-59511-5_20.
• 2017 Lee, J. and S. Li. Extending Moran’s Index for Spatial Autocorrelation to the Detection and Measurement of Spatiotemporal Autocorrelation. Geographical Analysis (Accepted, In Press).
• 2016 Ye, X., L. Wu, & J. Lee. Accounting for spatiotemporal inhomogeneity of urban crime in China. Papers in Applied Geography, 3(2). http://doi.org/10.1080/23754931.2016.1268969.
• 2016 Li, S., X., Ye, J. Lee, & C. Qin. Spatiotemporal Analysis of Housing Prices in China: A Big Data Perspective. Applied Spatial Analysis and Policy https://link.springer.com/article/10.1007/s12061-016-9185-3
• 2016 Ye. X. & J. Lee. Integrating Geographic Activity Space and Social Network Space to Promote Healthy Lifestyles. ACMS/GSPATIAL Health GIS. https://www.sigspatial.org/wp-content/uploads/special-issues/8/1/Paper3.pdf
• 2016 Zhao, H., J. Lee, X. Ye, & J. Tyner. Spatiotemporal Analysis of Religious Establishments in Coastal China. GeoJournal. http://doi.org/10.1007/s10708-016-9726-y.
• 2016 Ye. X., S. W. Li, X. Yang, J. Lee, & L. Wu. The Fear of Ebola: A Tale of Two cities in China. In Z. Shen (ed.) Big Data for Urban Planning. Springer. http://link.springer.com/content/pdf/10.1007%2F978-3-319-51929-6.pdf.
• 2016 Wang, Y.D., T. Wang, X. Ye, J. Zhu, and J. Lee. Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm. Sustainability 8, 25; DOI: 10.3390/su8010025 (www.mdpi.com/journal/sustainability).
• 2016 Qiao, J., J. Lee, and X. Ye. Spatio-temporal Evolution of Specialized Villages and Rural Development: A Case Study of Henan Province, China. Annals of the Association of American Geographers 106(1): 57-75.
• 2015 She, B., X. Zhu, X. Ye, W. Guo, K. Su, and J. Lee. Weighted Network Voronoi Diagrams for local Spatial Analysis. Computers, Environment and Urban Systems, Volume 52: 70-80. (SSCI) http://www.sciencedirect.com/science/article/pii/S019897151500040X
• 2015 Lee, J. and D. Sui. 2015. From Applying Geography to Applied Geography. Papers in Applied Geography 1(1): 1-7. http://doi.org/10.1080/23754931.2015.1009282.
• 2015 Lee, J. 2015. Everyday Work: A Survey of the 2014 Applied Geography Conference. Applied Geography, Volume 60: 195-196. http://doi.org/10.1016/j.apgeog.2014.12.006.
• 2015 Wu, L., X. Liu, X. Ye, M. Leipnik, J. Lee, and X. Zhu. 2015. Permeability, Space Syntax, and the Patterning of Residential Burglaries in Urban China. Applied Geography, Volume 60: 261-265. http://doi.org/10.1016/j.apgeog.2014.12.001.
• 2015 Ye, X., X. Xu, J. Lee, X. Zhu, and L. Wu. 2015. Space-Time Interaction of Residential Burglaries in Wuhan, China. Applied Geography, Volume 60: 210-216. http://dx.doi.org/10.1016/j.apgeog.2014.11.022. (SSCI) http://www.sciencedirect.com/science/article/pii/S014362281400277X