摘要
随着数据挖掘的发展与日益成熟,空间数据挖掘成为研究的热点之一,可以广泛地应用于地理信息系统、遥感图像处理、计算机利用等领域。进行了GIS与空间数据挖掘集成技术的初探,探讨DM在GIS中应用的必要性与可能性,以解决GIS中面临的"数据丰富但知识贫乏"的瓶颈问题。介绍在GIS数据库中进行数据挖掘,可以发现的知识类型和具体应用,最后以马尔可夫预测法预测未来几年的农业收成状态的实例说明空间数据挖掘技术对GIS的贡献。
With the maturity of the data mining technology, spatial data mining became one of the research hot spots. It could widely applied in GIS, RS and computer application. The initially researches on the integration between GIS and the spatial data mining technology were con- ducted, the necessity and the possibility of DM in GIS application were discussed in order to solve the bottleneck problem of ＂ rich data but deficient knowledge＂ in GIS. The data mining in the GIS database could discover knowledge type and concrete application. Finally, by using the Markov pre-measurement, the agricultural crop condition in several years was forecasted, which showed the contribution of spatial data mining technology to GIS.
出处
《安徽农业科学》
CAS
北大核心
2008年第29期12974-12975,12985,共3页
Journal of Anhui Agricultural Sciences
基金
安徽省自然科学基金项目(050450103)
关键词
GIS
空间数据挖掘
集成
农业
Geography information system （GIS）
Spatial Data Mining （ SDM ）
Integration
Agriculture
