Department of Geography and Planning

Education

Ph.D., Geography, University of Connecticut, 2019
B.S., Geographical Information Science, Nanjing University, 2015

Research Interests

My research efforts focus on advancing understanding of the interactions between environmental change and human activities. Relationships between physical changes and socio-economic driving factors are typically multidimensional and occur in multiple spatial and temporal scales. Therefore, the overall goal of my research is to evaluate their interactions through quantitative approaches, as well as in multi-scaled dimensions. By combining three major components (i.e., landscapes, climate, and hydrology) in human-environmental systems, my research interests cover two general directions: (1) how intensive human activities, climate change, and hydrological processes interact, and (2) how to analyze these interactions spatially. Methodologically, I favor an interdisciplinary mode of investigation and apply a mix of quantitative research methods including Geographic Information Systems (GIS), Remote Sensing (RS), and geospatial and statistical analysis.

Click here to view my personal webpage.

Publications

Qu, S., Chen, J., and Wang, H*. Transformation of the relationship between low-carbon development and intensive urban land use. Sustainable Cities and Society (under review)

Qu, S., Wang, H., Hu, Z., Wang, Z., and Hu, S. Mixed-use urban land parcels identification integrating geospatial data and machine learning. Geo-spatial Information Science (in production)

Wang, H., Zhang, B., Qu, S., Wang, Z., and Huang, L. Detecting the spatial variation of vegetation change at regional scale based on historical and contemporary aerial photography (in preparation)

Wang, H., Chen, M., Wang, Z., Huang, L., Caudill, C. and Qu, S. How does extreme point sampling affect non-extreme simulation in geographical random forest? Earth Science Informatics. https://doi.org/10.1007/s12145-024-01268-9

Hong, Y., Que, X., Wang, Z., Ma, X., Wang, H., Salati, S., and Liu, J. Mangrove extraction from super-resolution images generated by deep learning models. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2024.111714

Que, X., Zhuang, X., Ma, X. Lai, Y., Xie, J., Fei, T., Wang, H., and Wu, Y. (2023) Modeling the spatiotemporal heterogeneity and changes of slope stability in rainfall-induced landslide areas. Earth Science Informatics. https://doi.org/10.1007/s12145-023-01165-7

Chen, X., Wang, H. (co-first author), Lyu, W., and Xu, R. (2022) The Mann-Kendall-Sneyers test to identify the change points of COVID-19 time series in the United States. BMC Medical Research Methodology. https://doi.org/10.1186/s12874-022-01714-6

Chen, X. and *Wang, H. (2022) On the rise of the new B. 1.1. 529 variant: Five dimensions of access to a COVID-19 vaccine. Vaccine. https://doi.org/10.1016/j.vaccine.2021.11.096

Wang, H., Xu, R., Qu, S., Schwartz, M. and Chen, X. (2021) Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut Journal of Infection and Public Health. https://doi.org/10.1016/j.jiph.2021.07.013

Yu, Z., Zhu, X., Liu, X., Chen, X., Wei, T., Yuan, H., Xu, Y., Zhu, R., He, H., Wang, H., Wong M., Jia, P., Shi, W. and Chen, W. (2021) Reopening International Borders without Quarantine: Contact Tracing Integrated Policy against COVID-19. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph18147494

Wang, H., Seaborn, T., Wang, Z., Caudill, C. and Link, T. (2021) Modeling tree canopy height using machine learning over mixed vegetation landscapes. International Journal of Applied Earth Observations and Geoinformation. https://doi.org/10.1016/j.jag.2021.102353

Chen, X., Zhang, A., Wang, H., Gallaher, A. and Zhu, X. (2021) Compliance and Containment inSocial Distancing: A Meso-scale Epidemic Model of COVID-19 International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2021.1873999

Qu, S., Hu, S., Li, W., Wang, H., Zhang, C. and Li, Q. (2020) Interaction between urban land expansion and land use policy: A analysis using the DPSIR framework. Land Use Policy. https://doi.org/10.1016/j.landusepol.2020.104856

Wang, H., Stephenson, S.R. and Qu, S. (2020) Quantifying the relationship between streamflow and climate change in a small basin under future scenarios. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2020.106251

Wang, H., Stephenson, S.R. and Qu, S. (2019) Modeling spatially non-stationary land use/coverchange in the lower Connecticut River Basin by combining geographically weighted logistic regression and the CA-Markov model. International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2019.1591416

Qu, S., Hu, S., Li, W., Zhang, C., Li, Q. and Wang, H. (2019) Temporal variation in the effects of impact factors on residential land prices. Applied Geography. https://doi.org/10.1016/j.apgeog.2019.102124

Wang, H. and Stephenson, S.R. (2018) Quantifying the impacts of climate change and land use/cover change on runoff in the lower Connecticut River Basin. Hydrological Processes. 32:1301–1312. https://doi.org/10.1002/hyp.11509

Wang, H. (2012) Prediction analysis of the carrying capacity of Nanjing Olympic Stadium and supporting facilities based on GIS. Jiangsu Social Sciences. S1: 34 -37. (In Chinese)