空间自相关是地理信息科学目前研究的热点问题，作为空间数据挖掘的一种手段，它着重分析了空间实体的聚集程度，阐释了事物之间普遍联系的准则。
As a hot topic in present GIS research, and as one of the ways of spatial data mining, the spatial autocorrelation focuses on spatial data convergence and shows that everything is related with others.
挖掘隐藏在地理信息系统(GIS)的空间数据中的知识是GIS研究领域和数据挖掘领域的重要方向。
Mining the hidden knowledge in the spatial data of Geographic Information System (GIS) is an important direction in the study fields of GIS and data mining.
空间数据挖掘是数据挖掘的一个分支，在地理信息系统、遥感、导航、环境研究以及许多使用空间数据的领域中有着广泛的应用。
Spatial Data Mining, one branch of Data Mining, has been widely applied in the geographical information system, remote sensing, navigation, environmental research as well as other field.
空间数据挖掘是数据挖掘的一个分支，在地理信息系统、遥感、导航、环境研究以及许多使用空间数据的领域中有着广泛的应用。
Spatial Data Mining, one branch of Data Mining, has been widely applied in the geographical information system, remote sensing, navigation, environmental research as well as other field.
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