Professor of Geography
My specialty is in geographic information systems (GIS), quantitative spatial analysis and modeling, and the geocomputational approach. I have explored the applications of GI technologies in various domains, particularly in health studies, digital soil mapping, urban and regional planning, public participation, and renewable energy studies.
- B.S. Peking University
- M.S. Chinese Academy of Sciences
- M.Phil. University of Hong Kong
- Ph.D. University of Wisconsin
Li, M., Shi, X. (one of corresponding authors), Li, X., Ma, W., He, J., and Liu, T., 2019, Epidemic Forest: A Spatiotemporal Model of Communicable Diseases. Annals of the American Association of Geographers. 109(3): 812-836. DOI: 10.1080/24694452.2018.1511413.
Shi, X., Ayotte, J.D., Onda, A., Miller, S., Rees, J., Gilbert-Diamond, D., Onega, T., Gui, J., Karagas, M., and Moeschler, J., 2015, Geospatial association between adverse birth outcomes and arsenic in groundwater in New Hampshire, USA. Environmental Geochemistry and Health, 37(2): 333-351. DOI: 10.1007/s10653-014-9651-2.
Shi, X., Miller, S.D., Mwenda, K.M., Onda, A., Rees, J.R., Onega, T.L., Gui, J., Karagas, M.R., Demidenko, E., and Moeschler, J.B., 2013, Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects, International Journal of Environmental Research and Public Health, 10: 4161-4174. DOI: 10.3390/ijerph10094161.
Shi, X., Alford-Teaster, J., Onega, T., and Wang, D., 2012, Spatial Access and Local Demand for Major Cancer Care Facilities in the U.S. Annals of the Association of American Geographers, 102(5): 1125-1134.
Works In Progress
2019, NCI (NIH), “Linking environmental contamination to residential history for risk identification”. $123,000 for 2 years. (a subcontract of an R21 granted to DHMC, Award Number: R21CA230875, PI: Angeline Andrew).
2019, HVH Precision Analytics, Mitsubishi Tanabe Pharma America, Inc., “Geospatial Analysis and Machine Learning for Identifying Environment-gene Interactions in the ALS Disease”. $220,000 for 2 years. PI: Xun Shi (a subcontract of a project granted to DHMC, PI: Elijah Stommel).
2018, Centers for Disease Control and Prevention (CDC),
“Identify, Analyze, and Evaluate Potential Risk Factors for Amyotrophic Lateral Sclerosis (ALS)” (GC10112-00-03), $40,897 for 3 years. PI: Xun Shi (a subcontract of a project granted to DHMC, PI: Elijah Stommel).
2016, National Institutes of Health, A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort Study (1UG3OD023275-01). 42 million for 7 years. PI: Margaret Karagas; Xun Shi is a co-Investigator.
2018, Scholar Innovation and Advancement Awards of Dartmouth, “An interdisciplinary exploration of big data for modeling spatiotemporal pattern of vector-borne diseases”. $41,000 for 2 years. PI: Xun Shi.