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GIS与SDM集成构建土地定级专家信息系统的研究 被引量:2

EXPERT INFORMATION SYSTEM FOR LAND GRADING ON THE BASIS OF GIS AND SDM INTEGRATION
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摘要 提出将GIS与SDM技术集成应用于土地定级信息系统建设,介绍了GIS与SDM集成的基本框架。设计开发了一个基于GIS和SDM技术的土地定级专家信息系统,系统采用决策树方法作为数据挖掘方法的基本算法,通过决策树训练与学习相结合挖掘土地定级规则,运用专家系统推力技术进行匹配推理实现土地定级工作。结合武汉市商业用地类型土地定级实例数据对系统性能进行了验证。结果表明,系统具有良好的移植性、复用性、扩展性和广泛适应性的特点,运用此技术能较好地解决土地定级这种具有半结构和非结构化特点的问题。 A brief introduction to Geographic Information System (GIS) and Spatial Data Mining (SDM) was given in this paper, and an integration of the two techniques applied in the information system for land grading was proposed. Then an expert system was developed for land grading on the basis of GIS and SDM by using Visual C+ + 6.0 and MapObject 2.0. Decision tree was adopted for the base arithmetic of the spatial data mining of the system, and land grading adopted for training and learning and the integration of the two for practical realization. The decision tree can acquire knowledge and at the same time, it can express knowledge, and the system uses it to acquire knowledge and express knowledge automatically. Also, an application example for commercial land grading in Wuhan City was presented in this paper to show that the system is a transplantable and practical as well as an extensible system. The work of land grading has become a simple job to use this system, and the results become more reliable. Moreover, this method has some particular advantages in addressing problems in land grading such as lack of land information and difficulties in quantitative analysis of factors.
作者 贾泽露
出处 《长江流域资源与环境》 CAS CSSCI CSCD 北大核心 2007年第3期323-328,共6页 Resources and Environment in the Yangtze Basin
基金 国家自然科学基金项目(40271088) 国家教育部留学人员回国基金资助项目(152174) 中南大学文理科学研究基金项目(0601057)资助
关键词 GIS(地理信息系统) SDM(空间数据挖掘) 决策树 土地定级 可视化 交互 空间分类 geographical information visualization interaction system(GIS) spatial data mining(SDM) decision tree land grading spatial classification
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