Text-Only Version | Accessibility Statement

Mu Lan

Mu Lan

1 | 2


Lan Mu

Associate Professor

Email: mulan@uga.edu
Phone: 706-542-1058
Fax: 706-542-2388
Office: Geog-Geol Bldg, 210 Field Street, Athens, Georgia 30602, 103

Research Interests

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



  • Ph.D. () University of California, Berkeley. [Environmental Planning]
  • Master of Arts () University of Toledo. [Geography and Planning]
  • Bachelor of Science () Peking University. [Urban and Environmental Sciences]

Selected Publications


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.

Yang, W. and L. Mu (in press, available online). GIS analysis of depression among Twitter users. Applied Geography. http://dx.doi.org/10.1016/j.apgeog.2014.10.016.

Yin, P., L. Mu, M. Madden & J. Vena (in press, available online) Hierarchical Bayesian Modeling of Spatio-Temporal Patterns of Lung Cancer Incidence Risk in Georgia, USA: 2000-2007. Journal of Geographical Systems. 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.

Yin, P. and L. Mu (forthcoming).  An empirical comparison of spatial demand representations in maximal coverage modeling. Environment and Planning B: Planning and Design.

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.

Cui, L., C. Gao, D. Zhou & L. Mu (2013) 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, 1-11.

Yin, P. and L. Mu, 2012. Modular capacitated maximal covering location problem for the optimal siting of emergency vehicles. Applied Geography, 34, 247-254.

Mu, L. and R. Liu, 2011. A Heuristic Alpha-Shape Based Clustering Method for Ranked Radial Pattern Data. Applied Geography, 31(2), 621-630.

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

Mu, L. and J. Radke, 2009. A Weighted Difference Barrier Method in Landscape Genetics. Journal of Geographical Systems, 11(2), 141-154.

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).

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.

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

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.

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

Mu, L., 2004. Polygon characterization with the multiplicatively weighted Voronoi diagram. The Professional Geographer, 56(2), 223-239.

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

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.

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

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. 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. X.

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


Zhu, Linli


Zhang, Xuan