从GIS数据库中可发现许多知识，这在GIS界已引起了相当的重视。ESDSA技术注重研究数据的空间依赖与空间异质性，在知识发现中用于选取感兴趣的数据子集，并可初步发现隐含在数据中的某些特征和规律。一些标准全程和局部空间统计包括MoranI,GearyG,G统计以及LISA等是ESDA技术的基本核心内容之一。在目前专家系统尚不成熟的条件下，充分利用GIS的可视化和空间分析技术是实现ESDA技术与GIS紧密完全结合的关系。实例说明在ESDA技术结合其它相关领域的知识从GIS数据库中发现知识的方法是可行的。

Lots of knowledge can be discovered from GIS database. Knowledge discovery from database of GIS has been drawing more and more attentions in different fields such as geo-science field, and computer field. ESDA technique especially emphasizes the study on the spatial dependency and spatial heterogeneity. And it is used to preliminary discover some law hidden in the data sub-aggregate of interest in the field of knowledge discovery. It is one of the most important contents to some normal whole and local spatial statistics including Moran I, Geary C, G statistics, LISA and so on. And it is the key of making ESDA technique and GIS completely and closely integrated to fully make use of GIS visualization and spatial analysis technique under the condition of imperfect Expert System. The example, which is China floating population's spatial distribution law discovered from GIS database, shows the method and steps to discover knowledge from database of GIS with the integrating ESDA and other knowledge. The results show that it is practical and effective to discover knowledge from from GIS database with ESDA. But it is impossible to completely and automatically discover knowledge from GIS database and other synthetic knowledge must be integrated into the course of knowledge discovery. The method of knowledge discovery in the paper is used in the mode of man-machine conversation and it needs urgently to be supported by Expert System.