Abstract
Geographic information system (GIS) professionals recognize that geographic process is essential for understanding what is happening in the world, learning how the environment is changing, modelling how complex systems work and giving context to other types of data. Consequently, geographic process models have been increasingly featured for the next generation geographic information science (system), as a method for phenomena simulation and mechanism analysis of the physical environment and its live activities, thereby driving conventional GIS based on data manipulation into the world of dynamic and computational processes (Goodchild, 2006; Yuan and Hornsby, 2008; Torrens, 2009; CSDGS et al., 2010).
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Acknowledgements
The work described in this chapter is supported by the National High Technology Research and Development Program of China (973 program grant no. 2010CB731801), the National High Technology Research and Development Program of China (863 key program grant no. 2010AA122202), HKSAR RGC Project no. 447807, and the Research Fund of State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences.
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Hu, M., Lin, H., Xu, B., Hu, Y., Tang, S., Che, W. (2011). Hierarchical Geospatial Computing Environment for Data-intensive Geographic Process Simulation. In: Thakur, J.K., Singh, S.K., Ramanathan, A., Prasad, M.B.K., Gossel, W. (eds) Geospatial Techniques for Managing Environmental Resources. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1858-6_2
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