Xun Shi

Professor of Geography
Academic Appointments

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.

Fairchild 014
HB 6017
B.S. Peking University
M.S. Chinese Academy of Sciences
M.Phil. University of Hong Kong
Ph.D. University of Wisconsin

Selected Publications

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.

Shi, X., Girod, L, Long, R., Dekett, R., Philippe, J., and Burke, T., 2012, A Comparison of LiDAR-based DEMs and USGS DEMs in Terrain Analysis for Digital Soil Mapping. Geoderma, 170: 217-226.

Shi, X., 2010, Selection of Bandwidth Type and Adjustment Side in Kernel Density Estimation over Inhomogeneous Backgrounds, International Journal of Geographical Information Science. 24(5): 643–660.

Shi, X., Long, R., Dekett, R., and McKay, J., 2009, Integrating Different Types of Knowledge for Digital Soil Mapping, Soil Science Society of America Journal. 73:1682–1692.

Shi, X., 2009, A GeoComputational Process for Characterizing the Spatial Pattern of Lung Cancer Incidence in New Hampshire, Annals of the Association of American Geographers. 99(3): 521-533.

Shi, X., Elmore, A.J., Li, X., Gorence, N.J., Jin, H., Zhang, X., and Wang, F., 2008, Using Spatial Information Technologies to Select Sites for Biomass Power Plants: A Case Study in Guangdong, China, Biomass and Bioenergy, 32: 35-43.

Shi, X., Duell, E., Demidenko, E., Onega, T., Wilson, B., and Hoftiezer, D., 2007, A Polygon-based Locally Weighted Average Method for Smoothing Disease Rates of Small Units, Epidemiology, 18(5): 523-528.

Shi, X., 2007, Evaluating the Uncertainty Caused by P.O.Box Addresses in Environmental Health Studies: A restricted Monte Carlo Approach, International Journal of Geographical Information Science, 21(3): 325-340.

Shi, X., Zhu, A-X., Burt, J., Choi, W., Wang, R-X., Pei, T., and Li, B-L., 2007, An Experiment with Circular Neighborhood in the Calculation of Slope Gradient from DEM, Photogrammetric Engineering & Remote Sensing, 73(2): 143-154.

Shi, X., Zhu, A-X., Burt, J., Qi, F., and Simonson, D., 2004, A Case-based Reasoning Approach to Fuzzy Soil Mapping. Soil Science Society of America Journal, 68: 885-894.

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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.