High Performance Computing for Geospatial Applications

Chapter 1-Introduction to high performance computing for geospatial applications. Chapter 2-Algorithms of high performance computing for geospatial applications. Chapter 3-Geospatial data handling with high performance computing. Chapter 4-Remote sensing with high performance computing. Chapter 5-Spatial analysis with high performance computing. Chapter 6-Spatial modeling with high performance computing. Chapter 7-Cartography and geovisualization with high performance computing. Chapter 8-Domain applications of high performance computing in ecology. Chapter 9-Domain applications of high performance computing in land use and land cover change. Chapter 10-Domain applications of high performance computing in  urban studies. Chapter 11-Domain applications of high performance computing in spatial epidemiology. Chapter 12-Domain applications of high performance computing in earth science. Chapter 13-Domain applications of high performance computing in environmental engineering. Chapter14-Domain applications of high performance computing in transportation studies. Chapter 15-Domain applications of high performance computing in social science. Chapter 16-Vision and future of high performance computing for geospatial applications.

Dr. Wenwu Tang is an Associate Professor and Executive Director of the Center for Applied GIScience at the Department of Geography and Earth Sciences at the University of North Carolina at Charlotte at U.S.A. He holds a Ph.D. degree from the University of Iowa and was a Post-doc and Research Scientist at the U.S. National Center for Supercomputing Applications and the University of Illinois at Urbana-Champaign. His research interests include cyberinfrastructure and high-performance geocomputation, agent-based modeling, and land change modeling. Dr. Tang has over 69 peer-reviewed publications, including 47 journal articles (e.g., International Journal of Geographical Information Science, Annals of the American Association of Geographers, Computers, Environment, and Urban Systems), 10 book chapters, and 12 conference proceedings. He has been actively applying high-performance computing technologies into geospatially related domains. Dr. Tang's research has been supported by federal and state funding agencies, including USDA Forest Services, US CDC, US Fish and Wildlife, NCDOT, NC Forest Service, and Electric Power Research Institute. Relevant courses that he has taught include CyberGIS and Big Data, Spatial Statistics, and Web GIS.