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地质公园的地质遗迹具有高度的景观价值,而公园的地质遗迹数据库中保存有这些地质遗迹的位置数据;空间数据挖掘就是根据空间点的位置关系来获取空间点的有价值信息;DBSCAN算法是一种基于密度的空间聚类方法;通过将地质遗迹数据库中的地质遗迹的原始位置信息转换为便于数据挖掘所使用的形式,采用DBSCAN算法对地质遗迹进行聚类,为地质公园制作景区划分方案提供科学依据。
Geological park geological relics have a high degree of landscape value, and the park’s geological heritage database holds the location data of these geological relics; spatial data mining is based on the spatial point of the location of the relationship to obtain valuable information space point; DBSCAN algorithm is a Based on the spatial clustering method based on density, this paper uses DBSCAN algorithm to cluster the geological relics by converting the original location information of the geological relics in the geological relics database into the data used in data mining, Scientific basis.