Lan Mu

GIScience Certificate Program Coordinator

Phone: 706-542-1058
Fax: 706-542-2388
Office: Geog-Geol Bldg, 210 Field Street, Athens, Georgia 30602, 103

Research Interests

GIScience for health and the environment, spatial analysis and modeling, computational geometry, cartography and geovisualization



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

Selected Publications


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

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.

Graduate Students

Lines, Patrick


Scott, Dorris

Research Interests

GIS applications to health
Health resource accessibility for female veterans
GIS applications to social media in tracking health issues and health outcomes
Community GIS


Zhang, Xuan

Research Interests

GIScience for health and environment; Spatial analysis for city planning applications