Research Areas

Geographic Information Science

Geographic Information Science (GIScience) is a vibrant research field of multidisciplinary research and applications.

A recent forecast by the U.S. Bureau of Labor Statistics estimates that mapping science positions will grow 21% between 2006 and 2016 (U.S. Department of Labor, 2006a).

The importance of building a workforce trained to utilize geographic information has been highlighted with the selection of geospatial technology as one of 14 high growth employment sectors.

Several UGA academic departments work in GIScience, along with research centers and various outreach and service organizations.

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Work in GIScience seeks to redefine geographic concepts and their use in the context of geographic information systems (GIS). GIScience draws from and overlaps with more specialized research fields such as computer science, statistics, mathematics, and psychology, while it also contributes to further developments in those fields.

GIScience research in the geography department at UGA includes a wide range of work on remote sensing, cartographic visualization, urban and resource modeling, and qualitative GIS. In addition, the faculty employs or develops state of the art GIS, remote sensing, and geocomputation techniques to explore various geospatial systems in order to advance our understanding of the real-world complexities.

The department has superb computing facilities for GIScience research and instruction. It also hosts the Center for Remote Sensing and Mapping which undertakes interdisciplinary research projects. Due to the multidisciplinary nature of GIScience, the department has strong collaborative ties across and beyond campus. The university is a long-standing member of the University Consortium for Geographic Information Science (UCGIS).

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Remote sensing publications authored by faculty

  • Coleman, J.B., X. Yao, T. Jordan, and M. Madden., 2011. Holes in the Ocean: Filling Voids in Bathymetric Lidar Data. Computers and Geosciences. 37(4):474-484
  • Jiang, B. and X. Yao (eds), 2010. Jiang, B. and X. Yao. (eds) 2010. Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. ISBN: 9048185718.
  • Kim, H. and X. Yao., 2010. Pycnophylactic interpolation revisited: integration with dasymetric method. International Journal of Remote Sensing. 31(21):5657-5671.
  • Yao, X. and B. Jiang. , 2009. Geospatial Modeling of Urban Environments Environment and Planning B: Planning and Design. 36(5).
  • Mitra, C., J.M. Shepherd, and T. Jordan, 2008. The dynamics of urban growth in Kolkata, India and Potential impacts on pre-monsoon precipitation U rban Climate News: Quarterly Newsletter of IAUC (International Association of Urban Climate), titled (Issue 28, Page 11). Available at http://www.urban-climate.org/ (READ MORE)
  • Levin Z., J.L. Brenguier, W. Cotton, G. Feingold, Y. Kaufman, and M. Shepherd, 2008. Chapter 5: Observational studies of the effects of aerosols on clouds and precipitation from the book, Assessment of the effects of pollution on precipitation, eds. Z. Levin and W. Cotton Commissioned by The World Meteorological Organization/IUGG , International Aerosol Precipitation Science Assessment Group (IAPSAG), Springer, 386 pp.
  • Jin, M., and J.M. Shepherd, 2008. Aerosol Relationships to Warm Season Clouds and Rainfall at Monthly Scales Over East China: Urban-land vs. Ocean Journal of Geophysical Research-Atmospheres
  • C. Mitra, J.M. Shepherd, and T. Jordan, 2008. Assessment and dynamics of the urban growth in the city of Kolkata, India. A.K. Dutt, V. Wadhwa, B. Thakur, and G.M. Pomeroy(eds). Social Geography for the 21st Century. (Contract with) Concept Publishing Company, New Delhi. (accepted)
  • Hou, A., G.S., Jackson, C. Kummerow, and J.M. Shepherd, 2008. Global Precipitation Measurement Precipitation: Advances in Measurement, Estimation, and Prediction, edited by Silas Michaelides, pp. 1-39
  • Hand, L., and J.M. Shepherd, 2008. Hand, L., and J.M. Shepherd, 2008: An investigation of warm season spatial rainfall variability in Oklahoma City: Possible linkages to urbanization and prevailing wind. Journal of Applied Meteorology and Climatology (in press)
  • Shepherd, J.M, D. Niyogi, T.L. Mote, and J. Entin, 2008. A climatological analysis associating spring tornadic activity with antecedent precipitation and drought in the Southeastern United States Geophysical Research Letters (in review)
  • Yao, X. and L. Zou., 2008. Interoperable Internet Mapping - An Open Source Approach. Cartography and Geographic Information Science. 35(4):279-293.
  • Smith, E., G. Asrar , Y. Furuhama, A. Ginati, C. Kummerow, V. Levizzani, A. Mugnai, K. Nakamura, R. Adler, V. Casse, M. Cleave, M. Debois, J. Durning, J. Entin, P. Houser, T. Iguchi, R. Kakar, J. Kaye, M. Kojima, D. Lettenmaier, M. Luther, A. Mehta, P. Morel, T. Nakazawa,S. Neeck, K. Okamoto, R. Oki, G. Raju, M. Shepherd, E. Stocker, J. Testud, and E. Wood, 2007. International Global Precipitation Measurement (GPM) Program and Mission Smith, A., G. Asrar, Y. Furuhama, A. Ginati, C. Kummerow, V. Levizzani, A. Mugnai, K. Nakamura, R. Adler, V. Casse, M. Cleave, M. Debois, J. Durning, J. Entin, P. Houser, T. Iguchi, R. Kakar, J. Kaye, M. Kojima, D. Lettenmaier, M. Luther, A. Mehta, P. Morel, T. Nakazawa, S. Neeck, K. Okamoto, R. Oki, G. Raju, M. Shepherd, E. Stocker, J. Testud, and E. Wood, 2007: International Global Precipitation Measurement (GPM) program and mission: An overview. In: Measuring precipitation from space - EURAINSAT and the future. V. Levizzani, P. Bauer, and F. J. Turk, Eds., Springer, 611-653.
  • Meng, Q., CJ. Cieszewski, M. Madden and B.E. Borders, 2007. K nearest neighbor method for forest inventory using remote sensing data GIScience & Remote Sensing, in press.
  • Fleming, S., T. Jordan, M. Madden, E.L. Usery and R. Welch, 2007. GIS applications for military operations in coastal zones International Journal of Photogrammetry and Remote Sensing, (in revision).
  • Ling, Y., M. Ehlers, E.L. Usery and M. Madden, 2007. FFT-Enhanced HIS transform method for fusing high-resolution satellite images ISPRS Journal of Photogrammetry and Remote Sensing, 61(6): 381-392.
  • Smith, A., G. Asrar, Y. Furuhama, A. Ginati, C. Kummerow, V. Levizzani, A. Mugnai, K. Nakamura, R. Adler, V. Casse, M. Cleave, M. Debois, J. Durning, J. Entin, P. Houser, T. Iguchi, R. Kakar, J. Kaye, M. Kojima, D. Lettenmaier, M. Luther, A. Mehta, P. Morel, T. Nakazawa, S. Neeck, K. Okamoto, R. Oki, G. Raju, M. Shepherd, E. Stocker, J. Testud, and E. Wood, 2007. International Global Precipitation Measurement (GPM) program and mission: An overview. Measuring precipitation from space - EURAINSAT and the future. V. Levizzani, P. Bauer, and F. J. Turk, Eds., Springer, 611-653.
  • Shepherd, J.M., A. Grundstein, and T.L. Mote, 2007. Quantifying the contribution of tropical cyclones to extreme rainfall along the coastal southeastern United States Geophys. Res. Lett., 34, L23810, doi:10.1029/2007GL031694 (READ MORE)
  • Jin, M., and J.M. Shepherd, 2007. Development of a parameterization for simulating the urban temperature hazard using satellite observations in a climate model Journal of Natural Hazards, DOI 10.1007/s11069-007-9117-2 (READ MORE)
  • Shepherd, J.M., 2006. Evidence of Urban-Induced Precipitation Variability in Arid Climate Regimes, Journal of Arid Environments, 10.1016/j.jaridenv.2006.03.022 (READ MORE)
  • Hooshialsadat, P., Burian, S.J., Shepherd, J.M., and Edwards, 2006. "Influence of urbanization on secular trends of annual and warm season rainfall amounts in Houston." Climatic Change (under review)
  • Shepherd, J.M., 2005. A Review of Current Investigations of Urban-Induced Rainfall and Recommendations for the Future. Earth Interactions: Vol. 9, No. 12, pp. 1–27. (READ MORE)
  • Jin, M., J. M. Shepherd, and M. D. King, 2005. Urban aerosols and their variations with clouds and rainfall: A case study for New York and Houston, J. Geophys. Res., 110, D10S20, doi:10.1029/2004JD005081
  • Jin, M. and J.M. Shepherd, 2005. Inclusion of Urban Landscape in a Climate Model: How Can Satellite Data Help?. Bulletin of the American Meteorological Society: Vol. 86, No. 5, pp. 681–689.
  • C. P. Lo, 2004. "Testing urban theories using remote sensing", GIScience and Remote Sensing, Vol. 41, No. 2, pp.95-115.
  • C.P. Lo and Jinmu Choi, 2004. "A hybrid approach to urban land use/cover mapping using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images", International Journal of Remote Sensing, Vol. 25, No. 14, pp.2687-2700.
  • Leigh, D.S., Srivastava, P., Brook, G.A, 2004. Late Pleistocene braided rivers of the Atlantic Coastal Plain, USA. Quaternary Science Reviews 23, 65-84.
  • Madden, M. , 2004. Remote sensing and GIS methodologies for vegetation mapping of invasive exotics ( Invited Paper), Weed Technology, 18:1457-1463.
  • Mote, T. L., A. J. Grundstein, D. J. Leathers, and D. A. Robinson, 2003. A comparison of modeled, remotely sensed, and measured snow water equivalent in the northern Great Plains. Water Resources Research, 39(8), 1209, doi:10.1029/2002WR001782.
  • Mote, T.L., 2003. Estimation of runoff rates, mass balance and elevation changes on the Greenland ice sheet from passive microwave observations. Journal of Geophysical Research-Atmospheres, 108, D2, doi: 10.1029/2001JD002032.
  • Bacchus, S., D. Archibald, G. Brook, K. Britton, B. Haines, S. Rathbun and M. Madden , 2003. Near infared spectroscopy of hydroecological indicator: New tool for determining sustainable yield for Floridan Aquifer System Hydrological Processes, 17:1785-1809.
  • Hirano, A., M. Madden and R. Welch , 2003. Hyperspectral image data for mapping wetland vegetation Wetlands, 23(2): 436-448.
  • C. P. Lo and A.K.W. Yeung, 2002. Concepts and Techniques in Geographic Information Systems, 1st edition (Prentice Hall, Upper Saddle River, NJ), 492pp.
  • C.P. Lo, 2002. "Urban indicators of China from radiance-calibrated digital DMSP-OLS nighttime images", Annals of the Association of American Geographers, Vol. 92, No. 2, pp.225-240.
  • X. Yang and C. P. Lo, 2002. "Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia Metropolitan Area", International Journal of Remote Sensing, Vol. 23, No. 9, pp.1775-1798.
  • Hanna, E., P. Huybrechts, and T. Mote, 2002. Surface mass balance of the Greenland Ice Sheet from climate analysis data and accumulation/runoff models. Annals of Glaciology, 35, 67-72.
  • Welch, R., M. Madden and T. Jordan , 2002. Photogrammetric and GIS techniques for the development of vegetation databases of mountainous areas: Great Smoky Mountains National Park ISPRS Journal of Photogrammetry and Remote Sensing, 57(1-2): 53-68.
  • Welch, R. and M. Madden , 2002. Vegetation mapping from remotely sensed imagery Invited Paper, In, Anders Boberg, Ed., Bildteknik/Image Science Nr 2002:1, Photogrammetry Meets Geoinformatics, Swedish Society for Photogrammetry and Remote Sensing, Stockholm, Sweden, pp. 201-206.
  • Welch, R., M. Madden, and R. F. Doren , 2002. Maps and GIS databases for environmental studies of the Everglades Chapter 9. In, J. Porter and K. Porter (Eds.) The Everglades, Florida Bay and Coral Reefs of the Florida Keys: An Ecosystem Sourcebook, CRC Press, Boca Raton, Florida: 259-279.
  • Mote, T.L, 2000. Ablation estimates for the Greenland Ice Sheet from passive microwave measurements. Professional Geographer, 52, 322-331.
  • Gong, P. and L. Mu, 2000. Error Detection through Consistency Checking. Geographic Information Sciences, 6(2): 188-193.
  • Madden, M. D. Jones and L. Vilchek , 1999. Photointerpretation key for the Everglades Vegetation Classification System Photogrammetric Engineering and Remote Sensing, 65(2): 171-177.
  • Welch, R., Madden, M. and R. Doren , 1999. Mapping the Everglades Photogrammetric Engineering and Remote Sensing, 65(2): 163-170.

Cartographic Visualization publications authored by faculty

  • Mu, L. and R. Liu, 2011. A Heuristic Alpha-Shape Based Clustering Method for Ranked Radial Pattern Data. Applied Geography, 31(2), 621-630.
  • Coleman, J.B., X. Yao, T. Jordan, and M. Madden., 2011. Holes in the Ocean: Filling Voids in Bathymetric Lidar Data. Computers and Geosciences. 37(4):474-484
  • Jiang, B. and X. Yao (eds), 2010. Jiang, B. and X. Yao. (eds) 2010. Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. ISBN: 9048185718.
  • 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., 2009. Thiessen Polygon. In Kitchin R. and Thrift N. (ed.) International Encyclopedia of Human Geography (Vol. II, pp.231-236)
  • Yao, X. and B. Jiang. , 2009. Geospatial Modeling of Urban Environments Environment and Planning B: Planning and Design. 36(5).
  • Yao, X. and Zhou, Y., 2009. Public Transit Need Index – Analyzing Spatial Distribution of the Potential Demand for Public Transit in a City. Geo-spatial Information and Decision Support for Urban Planning. Wuhan University Publishing. (in Chinese).
  • 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.
  • Yao, X. and L. Zou., 2008. Interoperable Internet Mapping - An Open Source Approach. Cartography and Geographic Information Science. 35(4):279-293.
  • Mu, L., 2007. Analytical Cartography. In K. K. Kemp (ed.) International Encyclopedia of Geographic Information Science, 8-10.
  • Madden, M., T.R. Jordan and J. Dolezal, 2006. Visualization for resource management In, E. Stefanakis, M.P. Peterson, C. Armenakis, V. Delis (Ed.), Geographic Hypermedia: Concepts and Systems, Springer-Verlag, New York: 329-344.
  • 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.
  • Yao, X. and B.Jiang, 2005. Visualization of Qualitative Locations. Cartography and Geographic Information Science. 32(4):219-229.
  • James Holt, C.P. Lo and Thomas W. Hodler. , 2004. "Dasymetric Estimation of Population Density and Areal Interpolation of Census Data to Compensate for Census Geography Changes, Metropolitan Atlanta, 1980-2000." Cartography and Geographic Information Science. Vol 31, No. 2, pp. 103-121.
  • Mu, L., 2004. Polygon characterization with the multiplicatively weighted Voronoi diagram. The Professional Geographer, 56(2), 223-239.
  • Madden, M., 2003. Visualization and analysis of vegetation patterns in National Parks of the Southeastern United States In, J. Schiewe, M. Hahn, M. Madden and M. Sester, Eds., Proceedings of Challenges in Geospatial Analysis, Integration and Visualization II, International Society for Photogrammetry and Remote Sensing Commission IV Joint Workshop, Stuttgart, Germany: 143-146
  • C. P. Lo and A.K.W. Yeung, 2002. Concepts and Techniques in Geographic Information Systems, 1st edition (Prentice Hall, Upper Saddle River, NJ), 492pp.
  • Yang, Xiaojun and Thomas W. Hodler. , 2000. "Visual and Statistical Comparisons of Surface Modeling Techniques for Point Based Environmental Data," Cartography and Geographic Information Science, Vol. 27, No. 2, pp. 165-175.
  • Thomas W. Hodler, Neal Lawson, and Howard A. Schretter, 1996. The Interactive Atlas of Georgia, version 2.2D. Institute of Community and Area Development (ICAD). The University of Georgia, Athens, GA.
  • Hodler, Thomas W. , 1996. "Use of Animated Mapping for Displaying Temporal Data," invited for inclusion in the Proceedings of the Seminar on the Teaching of Animated Cartography, International Cartographic Association, Madrid, Spain, August 30-September 1, 1995, pp 79-83.
  • Hodler, Thomas W. , 1994. "Do Geographers Really Need To Know Cartography?" Urban Geography, 15(5): 409-410. [editorial]
  • Thomas W. Hodler, 1987. "Design Aspects of the Atlas of Georgia." The American Cartographer, Special Issue, U.S. National Report to ICA, Vol. 14, No. 3, July, 1987, pp. 283-286.
  • Thomas W. Hodler and Howard A. Schretter (eds.), 1986. The Atlas of Georgia. Institute of Community and Area Development (ICAD), The University of Georgia, Athens, GA
  • Thomas W. Hodler and Roy Doyon, , 1984. "Spreads and Chokes: Cartographic Applications and Procedures," The American Cartographer, Vol. 11 (1), pp. 63-67.
  • Thomas W. Hodler, , 1982. "Isothermal Zone Mapping for Identifying Areas of Potential Geothermal Applications." American Congress on Surveying and Mapping, Technical Papers, 1982, pp. 508-511.
  • Thomas W. Hodler, , 1982. "A Mapping Strategy for Hydro-Geothermal Evaluation," The Journal of Geological Education, Vol. 30, pp. 168-171.
  • George F. Hepner and Thomas W. Hodler, , 1982. "The Role of Interactive Computer Assisted Cartography in the Science Curriculum," The Journal of College Science Teachers, Vol. 11 (6), 1982, pp. 367-368.

Urban And Resource Modeling publications authored by faculty

  • Mu, L. and R. Liu, 2011. A Heuristic Alpha-Shape Based Clustering Method for Ranked Radial Pattern Data. Applied Geography, 31(2), 621-630.
  • Coleman, J.B., X. Yao, T. Jordan, and M. Madden., 2011. Holes in the Ocean: Filling Voids in Bathymetric Lidar Data. Computers and Geosciences. 37(4):474-484
  • Shen, Z., X.Yao, M. Kawakami, P.Chen., 2011. Simulating spatial market share patterns for impacts analysis of large-scale shopping center on downtown revitalization. Environment and Planning B: Planning and Design. 38(1):142-162.
  • Jang, W. and X.Yao, 2011. Interpolating Spatial Interaction Data Transactions in GIS. (accepted)
  • 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.
  • Jiang, B. and X. Yao (eds), 2010. Jiang, B. and X. Yao. (eds) 2010. Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. ISBN: 9048185718.
  • Yao, X. , 2010. Modeling and analyzing cities as spatio-temporal places. In B.Jiang and X.Yao (eds) Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. pp.311-328.
  • Kim, H. and X. Yao., 2010. Pycnophylactic interpolation revisited: integration with dasymetric method. International Journal of Remote Sensing. 31(21):5657-5671.
  • Mu, L. and J. Radke, 2009. A Weighted Difference Barrier Method in Landscape Genetics. Journal of Geographical Systems, 11(2), 141-154.
  • Yao, X. and Jiang, B., 2009. Geospatial Modeling of Urban Environments Environment and Planning B: Planning and Design. 36(5):769-771.
  • Yao, X. and B. Jiang. , 2009. Geospatial Modeling of Urban Environments Environment and Planning B: Planning and Design. 36(5).
  • Yao, X. and Zhou, Y., 2009. Public Transit Need Index – Analyzing Spatial Distribution of the Potential Demand for Public Transit in a City. Geo-spatial Information and Decision Support for Urban Planning. Wuhan University Publishing. (in Chinese).
  • 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).
  • Mitra, C., J.M. Shepherd, and T. Jordan, 2008. The dynamics of urban growth in Kolkata, India and Potential impacts on pre-monsoon precipitation U rban Climate News: Quarterly Newsletter of IAUC (International Association of Urban Climate), titled (Issue 28, Page 11). Available at http://www.urban-climate.org/ (READ MORE)
  • C. Mitra, J.M. Shepherd, and T. Jordan, 2008. Assessment and dynamics of the urban growth in the city of Kolkata, India. A.K. Dutt, V. Wadhwa, B. Thakur, and G.M. Pomeroy(eds). Social Geography for the 21st Century. (Contract with) Concept Publishing Company, New Delhi. (accepted)
  • Grundstein, A., S.E. Sarnat, M. Klein, J.M. Shepherd, L. Naeher, T. Mote, and P. Tolbert, 2008. Thunderstorm-associated asthma in Atlanta, Georgia Thorax (READ MORE)
  • Reynolds, S., S. Burian, J.M. Shepherd, and M. Manyin, 2008. Urban induced rainfall modifications on urban hydrologic response . In: Reliable modeling of urban water systems, Edited by W. James et al., Computational Hydraulics International, Guelph, Ontario, CA, pp. 99-122.
  • 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.
  • Shepherd, J.M., W. Shem, L. Hand, and M. Manyin, 2008. Modeling Urban Effects on the Precipitation Component of the Water Cycle Geospatial Analysis and Modeling of Urban Environments, Springer Book Series-GIScience (submitted)
  • Shem, W. and J.M. Shepherd, 2008. On the impact of urbanization on summertime thunderstorms in Atlanta: Two numerical model case studies. Atmospheric Research (in press)
  • Yao, X., 2007. Examining Potential Demand of Public Transit for Commuting Trips Computers, Environment, and Urban Systems. 31(5):535-550
  • Jin, M., and J.M. Shepherd, 2007. Development of a parameterization for simulating the urban temperature hazard using satellite observations in a climate model Journal of Natural Hazards, DOI 10.1007/s11069-007-9117-2 (READ MORE)
  • 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.
  • C.P. Lo, 2005. "Decentralization and polarization: contradictory trends in Hong Kong's post-colonial social landscape", Urban Geography, Vol. 26, No.1, 2005, pp.36-60.
  • Jin, M. and J.M. Shepherd, 2005. Inclusion of Urban Landscape in a Climate Model: How Can Satellite Data Help?. Bulletin of the American Meteorological Society: Vol. 86, No. 5, pp. 681–689.
  • Madden, M. and Giraldo, M. , 2005. Landscape modeling and geovisualization (Invited Paper), In, S. Nayak, Ed., Geospatial Today, 3(7):14-20 www.geospatialtoday.com.
  • 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
  • J.B. Holt, C.P. Lo, and T.W. Hodler, 2004. "Dasymetric estimation of population density and areal interpolation of census data", Cartography and Geographic Information Science, Vol. 31, No. 2, 2004, pp.103-121.
  • Madden, M. , 2004. Vegetation modeling, analysis and visualization in U.S. National Parks In, M.O. Altan, Ed., International Archives of Photogrammetry and Remote Sensing, Vol. 35, Part 4B: 1287-1293.
  • 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
  • Xiaojun Yang and C.P. Lo, 2003. "Modelling urban growth and landscape changes in the Atlanta metropolitan area", International Journal of Geographical Information Science, Vol. 17, No. 5, 2003, pp.463-488.
  • C.P. Lo and Dale A. Quattrochi, 2003. "Land-use and land-cover change, urban heat island phenomenon, and health implications: a remote sensing approach", Photogrammetric Engineering and Remote Sensing, Vol. 69, No. 9, pp.1053-1063.
  • C. P. Lo and A.K.W. Yeung, 2002. Concepts and Techniques in Geographic Information Systems, 1st edition (Prentice Hall, Upper Saddle River, NJ), 492pp.
  • 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.
  • Thill, J.C. and Yao, X., 1999. Urban Land Management in Transitional Countries: A Decision Support Prototype for Shanghai. In J.C. Thill (ed) Spatial Multicriteria Decision Making and Analysis: A Geographic Information Sciences Approach, Brookfield, VT: Ashgate. pp. 175-197.
  • C.P. Lo and Xiaojun Yang, 2002. "Drivers of land use/cover changes and dynamic modeling for the Atlanta, Georgia Metropolitan Area", Photogrammetric Engineering and Remote Sensing, Vol. 68, No. 10, pp.1073-1082.

Qualitative GIS

  • Coleman, J.B., X. Yao, T. Jordan, and M. Madden., 2011. Holes in the Ocean: Filling Voids in Bathymetric Lidar Data. Computers and Geosciences. 37(4):474-484
  • Jiang, B. and X. Yao (eds), 2010. Jiang, B. and X. Yao. (eds) 2010. Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. ISBN: 9048185718.
  • Yao, X. , 2010. Modeling and analyzing cities as spatio-temporal places. In B.Jiang and X.Yao (eds) Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. pp.311-328.
  • Yao, X., 2009. Qualitative Spatial Reasoning and GIS In M. Madden (ed) Manual of Geographic Information Systems. 1st edition. ASPRS publisher.71-86.
  • Yao, X., 2009. Georeferencing, Geocoding. In R. Kitchin and N. Thrift. (eds). The International Encyclopedia of Human Geography. Elsevier.
  • Yao, X. and B. Jiang. , 2009. Geospatial Modeling of Urban Environments Environment and Planning B: Planning and Design. 36(5).
  • Yao, X. and J.C. Thill, 2007. Neuro-Fuzzy Modeling of Context-Contingent Proximity Relations. Geographical Analysis: An International Journal of Theoretical Geography. 39(2):169-194.
  • Thill, J.C. Kretzschmar, W.A., Casas, I. and Yao, X. , 2006. Detecting geographic and socio-economic associations in English dialect features with self-organising maps In Agarwal, P. and Skupin, A. (Eds) Self-Organising Maps: Applications in Geographic Information Science, Wiley.
  • Yao, X. and Thill, J.C. , 2006. Spatial Queries With Qualitative Locations In Spatial Information Systems. Computers, Environment and Urban Systems. 30(4):485-502.
  • Yao, X. and Thill, J.C., 2005. How Far Is Too Far – A Statistical Approach To Proximity Modeling. Transactions in GIS. Vol. 9(2): 157-178.
  • Yao, X. and B.Jiang, 2005. Visualization of Qualitative Locations. Cartography and Geographic Information Science. 32(4):219-229.
  • Sarmiento, F.O., E.O. Box & E. L. Usery., 2004. GIScience and tropical mountains: A challenge for geoecological research. Pp: 289-307. In: Bishop M.P. & J.F. Shroder Jr. (editors). Geographic Information Science and Mountain Geomorphology. Springer-Praxis Publishing Ltd.: Chichester, UK and Germany: 486pp.
  • C. P. Lo and A.K.W. Yeung, 2002. Concepts and Techniques in Geographic Information Systems, 1st edition (Prentice Hall, Upper Saddle River, NJ), 492pp.
  • 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.

Geocomputation

  • Mu, L. and R. Liu, 2011. A Heuristic Alpha-Shape Based Clustering Method for Ranked Radial Pattern Data. Applied Geography, 31(2), 621-630.
  • Coleman, J.B., X. Yao, T. Jordan, and M. Madden., 2011. Holes in the Ocean: Filling Voids in Bathymetric Lidar Data. Computers and Geosciences. 37(4):474-484
  • Shen, Z., X.Yao, M. Kawakami, P.Chen., 2011. Simulating spatial market share patterns for impacts analysis of large-scale shopping center on downtown revitalization. Environment and Planning B: Planning and Design. 38(1):142-162.
  • Jang, W. and X.Yao, 2011. Interpolating Spatial Interaction Data Transactions in GIS. (accepted)
  • 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.
  • Jiang, B. and X. Yao (eds), 2010. Jiang, B. and X. Yao. (eds) 2010. Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. ISBN: 9048185718.
  • Yao, X. , 2010. Modeling and analyzing cities as spatio-temporal places. In B.Jiang and X.Yao (eds) Geospatial Analysis and Modelling of Urban Structure and Dynamics. Dordrecht, the Netherlands: Springer. pp.311-328.
  • 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
  • Kim, H. and X. Yao., 2010. Pycnophylactic interpolation revisited: integration with dasymetric method. International Journal of Remote Sensing. 31(21):5657-5671.
  • Yao, X., 2009. Qualitative Spatial Reasoning and GIS In M. Madden (ed) Manual of Geographic Information Systems. 1st edition. ASPRS publisher.71-86.
  • Mu, L., 2009. Thiessen Polygon. In Kitchin R. and Thrift N. (ed.) International Encyclopedia of Human Geography (Vol. II, pp.231-236)
  • Mu, L. and J. Radke, 2009. A Weighted Difference Barrier Method in Landscape Genetics. Journal of Geographical Systems, 11(2), 141-154.
  • Yao, X. and Jiang, B., 2009. Geospatial Modeling of Urban Environments Environment and Planning B: Planning and Design. 36(5):769-771.
  • Yao, X. and B. Jiang. , 2009. Geospatial Modeling of Urban Environments Environment and Planning B: Planning and Design. 36(5).
  • Yao, X. and Zhou, Y., 2009. Public Transit Need Index – Analyzing Spatial Distribution of the Potential Demand for Public Transit in a City. Geo-spatial Information and Decision Support for Urban Planning. Wuhan University Publishing. (in Chinese).
  • 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.
  • Yao, X. and L. Zou., 2008. Interoperable Internet Mapping - An Open Source Approach. Cartography and Geographic Information Science. 35(4):279-293.
  • Yao, X. and J.C. Thill, 2007. Neuro-Fuzzy Modeling of Context-Contingent Proximity Relations. Geographical Analysis: An International Journal of Theoretical Geography. 39(2):169-194.
  • Yao, X., 2007. Examining Potential Demand of Public Transit for Commuting Trips Computers, Environment, and Urban Systems. 31(5):535-550
  • Mu, L., 2007. Analytical Cartography. In K. K. Kemp (ed.) International Encyclopedia of Geographic Information Science, 8-10.
  • Thill, J.C. Kretzschmar, W.A., Casas, I. and Yao, X. , 2006. Detecting geographic and socio-economic associations in English dialect features with self-organising maps In Agarwal, P. and Skupin, A. (Eds) Self-Organising Maps: Applications in Geographic Information Science, Wiley.
  • Gibbs, S.E.J., M. C. Wimberly, M. Madden, J. Masour, M.J. Yabsley and D.E. Stalknecht, 2006. Factors affecting the geographic distribution of West Nile virus in Georgia, USA: 2002-2004. Vector Borne and Zoonotic Diseases, 6(1): 73-82.
  • Jiang, B. and Yao, X. , 2006. Location-Based Services and GIS in Perspective. Computers, Environment and Urban Systems. 30(6): 712-725.
  • Yao, X. and Thill, J.C. , 2006. Spatial Queries With Qualitative Locations In Spatial Information Systems. Computers, Environment and Urban Systems. 30(4):485-502.
  • 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.
  • Yao, X. and Thill, J.C., 2005. How Far Is Too Far – A Statistical Approach To Proximity Modeling. Transactions in GIS. Vol. 9(2): 157-178.
  • 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
  • C. P. Lo and A.K.W. Yeung, 2002. Concepts and Techniques in Geographic Information Systems, 1st edition (Prentice Hall, Upper Saddle River, NJ), 492pp.
  • 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.

Departmental faculty members with interests in GIScience

Madden, Marguerite

Professor/Director of the Center for Geospatial Research

Research Interests

GIScience, landscape ecology and human-environment interaction

PROFILE

Mu, Lan

Professor and GIScience Coordinator, GIScience Certificate Program Coordinator

Research Interests

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

PROFILE

Yao, Xiaobai

Professor, Graduate Coordinator

Research Interests

Geospatial Analysis and Modeling; Urban and Transportation System, Network Science, Location-based Social Media Data, Public Health

PROFILE