Qingfeng (Gene) Guan
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Hi, I am Qingfeng “Gene” Guan, an assistant professor in the School of Natural Resources. I am associated with the Center for Advanced Land Management Information Technologies (CALMIT), specializing in Geographic Information Science (GIScience).
My research interests include GIScience, GeoComputation, and human-environment relationships and interactions. I am particularly interested in the analysis and modeling of large-scale geospatial and environmental dynamic processes (e.g., land-use and land-cover changes, environmental migrations) using methods of Computational Science, Geostatistics, Geo-Cyberinfrastructure, and High-Performance Geospatial Computing. My work is based on the premise that the new era of computational geography offers exciting solutions to problems that were previously unsolvable. I have been studying approaches to tackle the modeling complexity and computational burden for geospatial computing and environmental modeling without simplifying assumptions or resorting to less-satisfying alternatives. Two approaches are currently available: using the methods of computational science, especially methods developed in the field of Artificial Intelligence (AI), and utilizing High-Performance Computing (HPC) technology.
I developed an urban growth model which combined a cellular automata (CA) model, an artificial neural network (ANN), and a macro-scale socio-economic model. This model can be easily generalized for analyzing and simulating other kinds of geospatial spreading, e.g., diseases and disasters. I developed a parallel Fast Fourier Transformation (FFT)-based areal interpolation algorithm to investigate the parallelization of computationally intensive geostatistical algorithms. I developed a general-purpose parallel Raster Processing Programming Library (pRPL) for easily parallelizing raster-based processing. pRPL was primarily developed for non-specialist GIScientists and other geospatial practitioners who often lack knowledge and experience in parallel computing. It significantly reduces the development complexity, and it can easily fit into a large range of HPC environments to help geographers benefit from the cyberinfrastructure. I also developed the pSLEUTH, a parallel version of the well-known urban land-used change model SLEUTH utilizing pRPL. Also, I am heavily involved in the research and development of The National Map for the U.S. Geological Survey, developing a rapid raster projection transformation and mapping web service using pRPL.
My research goal is to combine the methods of computational science and cyberinfrastructure to solve critical and complex geospatial problems, such as large-scale land-use and land-cover change forecasting, improved disaster preparedness and response, geospatial data mining, and intelligent geospatial decision making.
I teach both undergraduate and graduate courses, including Advanced Geographic Information Systems (GEOG 422/822) and GIS Programming for Advanced Geospatial Analysis and Modeling (GEOG 498/898). I will also teach a seminar course – GIS-based Environmental Modeling, and possibly Introduction to Geographic Information Systems (GEOG 412/812).
Selected Publications
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Guan, Q. and K. C. Clarke. Accepted. A General-purpose Parallel Raster Processing Programming Library Test Application Using a Geographic Cellular Automata Model. International Journal of Geographical Information Science.
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Guan, Q. 2009. pRPL: an open-source general-purpose parallel Raster Processing programming Library. SIGSPATIAL Special, 1(1): 57-62
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Adler, P. B., J. HilleRisLambers, P. C. Kyriakidis, Q. Guan, and J. M. Levine. 2006.Climate variability has a stabilizing effect on coexistence of prairie grasses . Proceedings of the National Academy of Sciences, 103(34): 12793-12798
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Guan, Q. , L. Wang and K. C. Clarke. 2005. An Artificial-Neural-Network-based, Constrained CA Model for Simulating Urban Growth. Cartography and Geographic Information Science, 32(4): 369-380
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| Potential Advising for Undergraduate Majors | Bachelor of Science in
Bachelor of Arts in
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| Potential Advising for Graduate Program |
Master of Arts with a Specialization in
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| Course Number | Course Title | Day | Time | Cross Listings |
| GEOG 422 | Advanced Techniques in Geographic Information Systems | W | 0900-1150 A | GEOG 822 |
| GEOG 422 | Advanced Techniques in Geographic Information Systems | TR | 0930-1045 A | GEOG 822 |
| GEOG 822 | Advanced Techniques in Geographic Information Systems | W | 0900-1150 A | GEOG 422 |
| GEOG 822 | Advanced Techniques in Geographic Information Systems | TR | 0930-1045 A | GEOG 422 |
| NRES 896 | Independent Study | ARR | ARR | None |
| NRES 896 | Ind. Study - GIS Lab | ARR | ARR | None |
| NRES 922 | Seminar in Geographic Info. Systems | ARR | ARR | None |
| SNR Faculties | Geography/GIScience |
| Areas of Interest | Geographic Information Science and GeoComputation, including Geo-Cyberinfrastructure, High-Performance Geospatial Computing, Computer Cartography; Spatial Analysis and Environmental Modeling, including Cellular Automata and Agent-based Modeling, Artificial Intelligence for Environmental Modeling and Decision Making, Land-use and Land-cover Change Modeling, Digital Terrain Analysis; Human-Environment Relationships and Interactions |
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