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Lan Mu

GIScience Certificate Program Director

Contact info

Geog-Geol Bldg, 210 Field Street, Athens, Georgia 30602, Room 208
Research Interests:


  • Geographic Information Science (GIScience)
  • GIScience for Health and Environment
  • Geospatial Analysis for SoDH, Health Access and Disparity
  • Geovisualization and Cartography
  • Environmental Planning
  • Problem Solving with Geospatial Methods (computational geometry, geostatistics, ABM, GeoAI, etc.)

Research Lab:     

GIS.HEAL (GIScience for Health and Environment Analytics Lab)

  • Ph.D., University of California, Berkeley
  • Master of Arts, University of Toledo
  • Bachelor of Science, Peking University
Of note:

Research Projects sponsored by

  • NIH
  • USDA
  • NSF
  • UCGIS (University Consortium for Geographic Information Science)
  • UGA Presidential Interdisciplinary Seed Grant
  • UGA Presidential Interdisciplinary Pre-Seed Grant


Selected Publications:

Journal Articles  (* corresponding author)

Li Y*, Zhang D, Li W, Chen Z, Thapa J, Mu L, Zhu H, Dong Y, Li L, Pagán JA. The Health and Economic Impact of Expanding Home Blood Pressure Monitoring. Am J Prev Med. 2023 May 13:S0749-3797(23)00232-5. doi: 10.1016/j.amepre.2023.05.010. Epub ahead of print. PMID: 37187442.

Yang J, Mu L*, Rajbhandari-Thapa J. Measuring and Mapping Physical Activity Disparity (PAD) Index Based on Physical Activity Environment for Children. ISPRS International Journal of Geo-Information. 2023; 12(3):134.

Zhang J, L. Mu*, D. L. Zhang, et al., "Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data," ISPRS International Journal of Geo-Information, vol. 12, no. 3, p.91, 2023. [Online]. Available:

Wu N. and L. Mu*, "Impact of COVID-19 on online grocery shopping discussion and behavior reflected from Google Trends and geotagged tweets," Comput Urban Sci, vol. 3, no. 1, p. 7, 2023, doi: 10.1007/s43762-023-00083-0.

Kong, I.*, Sarmiento, F. O., & Mu, L. (2023). Crowdsourced text analysis to characterize the U.S. National Parks based on cultural ecosystem services. Landscape and Urban Planning, 233, 104692. doi:10.1016/j.landurbplan.2023.104692

Son, H., Zhang, D.*, Shen, Y., Jaysing, A., Zhang, J., Chen, Z., Mu, L., Liu, J., Rajbhandari-Thapa, J., Li, Y., Pagan, J. A. (2023). Social Determinants of Cardiovascular Health: A Longitudinal Analysis of Cardiovascular Disease Mortality in U.S. Counties from 2009 to 2018. Journal of the American Heart Association, 12(2), e026940. doi:10.1161/JAHA.122.026940 

Zhang, X., Mu, L.* Zhang, D., Mao, Y., Shi L., Rajbhandari-Thapa J., Chen Z., Li Y., Pagán, J.  (2022). Geographical and Temporal Analysis of Tweets Related to COVID-19 and Cardiovascular Disease in the U.S. Annals of GIS. 1-10. doi:10.1080/19475683.2022.2133167

Yang, J., Rajbhandari-Thapa, J.*, Mu, L., Zhang, D., Thapa, K. (2022) Physical Activity Environment Inside and Outside School and Youth Fitness: A Spatial Analysis at the Level of Elementary School Attendance Zone in Georgia. Indoor and Built Environment. doi:10.1177/1420326X221135337

Wang, M. *, Z. Chen, H. H. Rong, L. Mu, P. Zhu, and Z. Shi. 2022. Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images. Computers, Environment and Urban Systems 97:101858.Gao, Y.*, Chen, Y. Y., Mu, L., Gong, S. Z., Zhang, P. C., & Liu, Y. (2022). Measuring urban sentiments from social media data: a dual-polarity metric approach. Journal of Geographical Systems.

Li, Y.*, Zhang, D. L., Thapa, J., Li, W. X., Chen, Z., Mu, L., Liu, J. X., & Pagan, J. A. (2021) The Impact of Expanding Telehealth-Delivered Dietary Interventions on Long-Term Cardiometabolic Health. Population Health Management.

Zhang, X., Mu, L.*, & Shannon, J. (2021). The relationship between older adult migration and destination characteristics in Georgia. Applied Geography132, 102464.

Mu L*, Liu Y, Zhang D, Gao Y, Nuss M, Rajbhandari-Thapa J, Chen Z, Pagán JA, Li Y, Li G, Son H. Rurality and Origin–Destination Trajectories of Medical School Application and Matriculation in the United States. ISPRS International Journal of Geo-Information. (2021); 10(6):417.

Zhou Z, Xu Z*, Liu A, Zhou S, Mu L, Zhang X. Mapping the Accessibility of Medical Facilities of Wuhan during the COVID-19 Pandemic. ISPRS International Journal of Geo-Information. (2021); 10(5):318.

Zhang, D*., Li, G., Mu, L., Rajbhandari Thapa, J., Li, Y., Chen, Z., Shi, L., Su, D., Son, H., and Pagan, J.A., (2021). Trends in Medical School Application and Matriculation Rates Across the United States From 2001 to 2015: Implications for Health Disparities. Academic Medicine (2021), 96(6), pp.885-893.

Gong, S, Gao, Y*, Zhang, F, Mu, L, Kang, C, Liu, Y. Evaluating healthcare resource inequality in Beijing, China based on an improved spatial accessibility measurement. Transactions in GIS. (2021); 25: 1504– 1521.

Mu, L.*, Chen, Y., & Zhen, C.* (2020). SNAP office accessibility and its association with rurality. Applied Geography, 120, 102209. doi:

Zhang, D.*, Son, H., Shen, Y., Chen, Z., Rajbhandari-Thapa, J., Li, Y., Eorn, H., Bu, D, Mu, L., Li, G., & Pagán, J. A. (2020). Assessment of Changes in Rural and Urban Primary Care Workforce in the United States From 2009 to 2017. JAMA Network Open, 3(10), e2022914-e2022914. doi:10.1001/jamanetworkopen.2020.22914

Ye, C., Zhang, F., Mu, L., Gao, Y., & Liu, Y.* (2020). Urban function recognition by integrating social media and street-level imagery. Environment and Planning B: Urban Analytics and City Science, 0(0), doi:10.1177/2399808320935467

Tian, Y., Yao, X. A.*, Mu, L., Fan, Q., & Liu, Y. (2020). Integrating meteorological factors for better understanding of the urban form-air quality relationship. Landscape Ecology, 35(10), 2357-2373. doi:10.1007/s10980-020-01094-6

Wang, M., Chen, Y., Mu, L.*, & Zhang, X. (2020). Road Network Structure and Ride-sharing Accessibility: A Network Science Perspective. Computers, Environment and Urban Systems, 80, 101430. doi:

Martinez, L.*, W. Cheng, X. Wang, F. Ling, L. Mu, C. Li, X. Huo, M. H. Ebell, H. Huang, L. Zhu, C. Li, E. Chen, A. Handel, and Y. Shen* (2019). A Risk Classification Model to Predict Mortality Among Laboratory-Confirmed Avian Influenza A H7N9 Patients: A Population-Based Observational Cohort Study. The Journal of Infectious Diseases 220 (11):1780-1789. doi: 10.1093/infdis/jiz328 %J The Journal of Infectious Diseases.

Gao, Y.*, J. Liu, Y. Xu, L. Mu, and Y. Liu. (2019). A Spatiotemporal Constraint Non-Negative Matrix Factorization Model to Discover Intra-Urban Mobility Patterns from Taxi Trips. Sustainability, 11 (15):4214. doi:10.3390/su11154214.

Zhang, X. and L. Mu* (2019).  The Perceived Importance and Objective Measurement of Walkability in the Built Environment Rating. Environment and Planning B: Urban Analytics and City Science. doi: 10.1177/2399808319832305.

O’Hare, N., C. Carrol, L. Mu, T. Jordan and M. Madden* (2019). Amphibian Distribution in the Georgia Seas Islands: Implications from the Past and for the Future. The Journal of North American Herpetology (JNAH).

Wang, M. & L. Mu* (2018) Spatial Disparities of Uber Accessibility: An Exploratory Analysis in Atlanta, USA. Computers, Environment and Urban Systems, 67, 169-175. doi:

Yin, P. & L. Mu* (2017) A hybrid method for fast detection of spatial disease clusters in irregular shapes. GeoJournal. doi: 10.1007/s10708-017-9799-2

Xu, W., R. Fayrer-Hosken, M. Madden*, C. Simms, L. Mu & A. Presotto (2017) Coupling African elephant movement and habitat modeling for landscape availability-suitability-connectivity assessment in Kruger National park, South Africa. Pachyderm (Journal of the African Elephant Specialist Group, the African Rhino Specialist Group and the Asian Rhino Specialist Group), 58, 97-106.

Yang, W., L. Mu*, and Y. Shen (2015). The effect of climate and seasonality on depressed mood among twitter users. Applied Geography. 60, 184-191. doi:10.1016/j.apgeog.2015.06.017.

Mu, L.*, Wang, F.*, Chen, V. W., & Wu, X. (2015). A place-oriented, mixed-level regionalization method for constructing geographic areas in health data dissemination and analysis. Annals of the Association of American Geographers, 105(1), 48-66. doi:10.1080/00045608.2014.968910.

Yang, W. and L. Mu* (2015). GIS analysis of depression among Twitter users. Applied Geography. 60, 217-223. doi:10.1016/j.apgeog.2014.10.016.

Yin, P. and L. Mu* (2015).  An empirical comparison of spatial demand representations in maximal coverage modeling. Environment and Planning B: Planning and Design, 42: 574-592. doi:10.1068/b130004p

Yin, P., L. Mu*, M. Madden & J. Vena (2014). Hierarchical Bayesian modeling of spatio-temporal patterns of lung cancer incidence risk in Georgia, USA: 2000-2007. Journal of Geographical Systems, 16(4), 387-407. doi:10.​1007/​s10109-014-0200-4

Wang, M. and L. Mu* (2014). What geomorphological characteristics accommodate emergent herbaceous wetlands in North Georgia? – Geographic Knowledge Discovery from the NLCD and DEM. Annals of GIS, 20(3), 169-180. doi:10.1080/19475683.2014.942364.

Cui, L., C. Gao, D. Zhou* & L. Mu (2014). Quantitative analysis of the driving forces causing declines in marsh wetland landscapes in the Honghe region, northeast China, from 1975 to 2006. Environmental Earth Sciences, 71(3), 135-1367.doi:10.1007/s12665-013-2542-5.

Mu, L.* (2013). From Zipf’s Law to hypsometry:  seeking the “signature” of elevation distribution. The International Journal of Geographical Information Science, 27(7), 1312-1328. doi:10.1080/13658816.2012.721887

Yin, P. and L. Mu* (2012).  Modular capacitated maximal covering location problem for the optimal siting of emergency vehicles. Applied Geography, 34, 247-254. doi:10.1016/j.apgeog.2011.11.013.

Mu, L.* and R. Liu, 2011. A Heuristic Alpha-Shape Based Clustering Method for Ranked Radial Pattern Data. Applied Geography, 31(2), 621-630. doi:10.1016/j.apgeog.2010.11.012

Albeke, S. E., Nibbelink, N. P.*, Mu, L., and Ellsworth, D. J., 2010. Measuring boundary convexity at multiple spatial scales using a linear "moving window" analysis: an application to coastal river otter habitat selection. Landscape Ecology, 25(10), 1575-1587. doi: 10.1007/s10980-010-9528-4

Mu, L.* and J. Radke, 2009. A Weighted Difference Barrier Method in Landscape Genetics. Journal of Geographical Systems, 11(2), 141-154. doi: 10.1007/s10109-009-0079-7

Liu, R.* and L. Mu*, 2008. The Delimitation of Central Cites' Influential Regions and the Integration of Urban Groups Based on the Multiplicatively Weighted Voronoi Diagram. Human Geography, 101(3), 28-34 (in Chinese). article ID: 1003- 2398( 2008) 03- 0028- 07

Mu, L.* and F. Wang*, 2008. A scale-space clustering method: mitigating the effect of scale in the analysis of zone-based data. Annals of the Association of American Geographers, 98(1), 85-101. doi: 10.1080/00045600701734224

Mu, L.*, 2008. A Shape-based Buffering Method. Environment and Planning B: Planning and Design, 35(3), 399-412. doi: 10.1068/b33046

Mu, L.* and X. Wang , 2006. Population Landscape: A Geometric Approach to Study Spatial Patterns of the US Urban Hierarchy. The International Journal of Geographical Information Science, 20(6), 649-667. doi: 10.1080/13658810600661342

Zhou D., J. Radke*, Y. Tian, J. Xu and L. Mu, 2005. A Model Supported by GIS for Locating and Quantifying PM2.5 Emission originated from Residential Wood Burning. Journal of Environmental Sciences, 17(5), 861-865. article ID: 1001-0742(2005)05-0861-05

Mu, L.*, 2004. Polygon characterization with the multiplicatively weighted Voronoi diagram. The Professional Geographer, 56(2), 223-239. doi: 10.1111/j.0033-0124.2004.05602007.x

Zhou D.*, J. Xu, J. Radke, and L. Mu, 2004. A Spatial Cluster Method Supported by GIS for Urban-Suburban-Rural Classification. Chinese Geographical Science, 14(4), 337-342. article ID: 1002-0063(2004)04-0337-06

Radke, J*. and L. Mu, 2000. Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs. Geographic Information Sciences, 6(2): 105-112. doi: 10.1080/10824000009480538

Gong, P.* and L. Mu, 2000. Error Detection through Consistency Checking. Geographic Information Sciences, 6(2): 188-193. doi: 10.1080/10824000009480549

Radke, J*., T. Cova, M. Sheridan, A. Troy, L. Mu, and R. Johnson, 2000. Application Challenges for GIScience: Implications for Research, Education, and Policy for Emergency Preparedness and Response. Urban and Regional Information Systems Association Journal, 12(2): 15-30.

Book Chapters

Zhang, X. and L. Mu* (2019). Incorporating Online Survey and Social Media Data into a GIS Analysis for Measuring Walkability, in E. Delmelle and Y. Lu (eds.) Geospatial Technologies for Urban Health. Springer International Publishing AG.

Mu, L.* and S. Holloway (2019). Neighborhoods, in J. Wilson (eds.) Geographic Information Science & Technology Body of Knowledge. University Consortium for Geographic Information Science.

Mu, L.* (2016). Regionalization of public health departments (p.210-226), in X. Shi and F. Wang (eds.) GIScience in Public Health. (in Chinese) Beijing, China: Higher Education Press, China.

Mu, L. and F. Wang*. 2015. Appendix 9B: A toolkit of the mixed–level regionalization method. In Quantitative Methods and Socioeconomic Applications in GIS (Wang, 2nd ed.). Boca Raton, FL: Taylor & Francis. p. 213-216.

Mu, L.*, F. Wang and S. McLafferty , 2010. Analyzing Spatial Patterns of Late-Stage Breast Cancer in Chicago Region: A Modified Scale-Space Clustering Approach. in B. Jiang and X. Yao (eds.) Geospatial Analysis and Modeling of Urban Structure and Dynamics (pp.355-372). Dordrecht, the Netherlands: Springer Science+Business Media B.V.

Mu, L.*, 2009. Thiessen Polygon. In Kitchin R. and Thrift N. (ed.) International Encyclopedia of Human Geography (Vol. II, pp.231-236)

Mu, L.*, 2007. Analytical Cartography. In K. K. Kemp (ed.) International Encyclopedia of Geographic Information Science, 8-10.

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