Participants in our research group

    本课题组参与人员：

尹凌

Keywords

    关键词:

spatial control; GIS; parallel computing; wildfire control

Description

    简介:

• The coupling scheme of desktop GIS and parallel computing environment is developed, and the optimal fire suppression model based on cellular automata and genetic algorithm is implemented. 研发桌面GIS与并行计算环境的耦合方案，实现基于元胞自动机和遗传算法的最优挡火模型。

Complex spatial control problems can be computationally intensive. Timely response in urgent spatial control situations such as wildfire control poses great challenges for the efficient solving of spatial control problems. Web-based and service-oriented architectures of integrating geographic information system (GIS) clients and parallel computing resources have been suggested as an effective paradigm to solve computationally intensive spatial problems. Such real-time coupling framework is highly dependent upon interactivity and on-demand availability of dedicated parallel computing resources appropriate for the problem. We present an approach to enhancing the efficiency of solving spatial control problems while offering another coupling framework of integrating computing resources from desktop GIS and parallel computing environments to alleviate such dependency. Specifically, a model knowledge database is developed to bridge the gap between desktop GIS models and parallel computing resources. Desktop GIS models can iteratively improve themselves by steering rules retrieved from the model knowledge database. To examine its effectiveness, we applied the framework to a wildfire control case. Simulation results show dramatic reduction in computation time of the improved desktop GIS model, and indicate that desktop GIS models enhanced by model knowledge databases can be useful in providing timely assistance on computationally intensive spatial control problems.

Publication

    论文:

Ling Yin, Shih-Lung Shaw, Dali Wang, Eric A. Carr, Michael W. Berry, Louis J. Gross, and E. Jane Comiskey, 2012. A framework of integrating GIS and parallel computing for spatial control problems - A case study of wildfire control. International Journal of Geographical Information Science, 26(4), 621–641. (SCI)

Cooperations

    合作单位：

	Department of Geography, University of Tennessee, Knoxville 美国田纳西大学			Ecosystem Simulation Science, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA 美国橡树岭国家实验室环境科学部