Chuanrong Zhang

 

Assistant Professor, Department of Geography

Personal WWW Site: http://www.geography.uconn.edu/people/zhang.html

Recent Publications

• Li, W., and C. Zhang. 2009. Linear Interpolation and Joint Model Fitting of Experimental Transiograms for Markov Chain Simulation of Categorical Spatial Variables. International Journal of Geographical Information Science (in press).
• Li, W and Zhang, C. 2009. Simulating the spatial distribution of clay layer occurrence depth in alluvial soils with a Markov chain geostatistical approach. Environmetrics. DOI: 10.1002/env.981.
• Zhang, C., W. Li and D. Travis.2009. Restoration of clouded pixels in multispectral remotely sensed imagery with co-kriging. International Journal of Remote Sensing. 30(9): 2173-2195.
• Zhang, C. and W. Li. 2008. Regional-scale modeling of the spatial distribution of surface and subsurface textural classes in alluvial soils using Markov chain geostatistics. Soil Use and Management 24:263-272.
• Zhang, C, Z.-R. Peng, T. Zhao and W. Li. 2008. Transforming Transportation Data Models From Unified Modeling Language to Web Ontology Language. Transportation Research Record:Journal of the Transportation Research Board, 2064:81-89.
• Zhao, T. C. Zhang, M. Wei and Z.-R. Peng. 2008.Ontology-based geospatial data query and integration. Lecture Notes in Computer Science LNCS5266:Geographic Information Science, 5266:370-392.
• Li, W. and C. Zhang. 2008. A single-chain-based multidimensional Markov chain model for subsurface characterization. Environmental and Ecological Statistics, 15 (2): 157-174.
• Zhang, C. and W. Li. 2008. A comparative study of nonlinear Markov chain models for conditional simulation of multinomial classes from regular samples. Stochastic Environmental Research and Risk Assessment, 22(2): 217-230.
• Zhang, C. W. Li and Travis, D. 2007. Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach. International Journal of Remote Sensing, 28(22): 5103-5122.
• Zhang, C., W. Li and T. Zhao. 2007. Geospatial data sharing based on geospatial semantic web technologies. Journal of Spatial Science, 52 (2): 35-49.
• Zhang, C. and W. Li. 2007. Comparing a fixed-path Markov chain geostatistical algorithm with sequential indicator simulation in categorical variable simulation from regular samples. GIScience & Remote Sensing, 44(3): 251-266.
• Li, W., and C. Zhang, 2007. A random-path Markov chain algorithm for simulating categorical soil variables from random point samples. Soil Sci. Soc. Am. J. 71(3): 656-668.