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中文摘要：
空间聚类是空间分析和空间数据挖掘的重要方法和研究内容。在地图代数中，通过建立栅格坐标与距离平方对应的栅格平方平面，计算栅格空间的最短距离，实现栅格距离变换。以栅格空间距离变换为基础，通过提取特征等距线，揭示简单的空间点集聚类过程，并将这种算法扩展到点、线、面实体混合分布空间，以及加权距离以及障碍空间的空间聚类。算法分析表明该算法简单、合理。
英文摘要：
Spatial clustering analysis is important method and study content of spatial analysis and spatial data n Map Algebra, through establishing Raster square plane, by which Roster reference and distance square are corresponding, the shortest distance of Raster space is computed, and Raster distance transformation is realized. Based on Raster distance transformation, by extracting characteristic equidistant lines, the clustering process of simple points is discussed. And then, this method is applied to the case of all-kind objects, weighted distance and the space having obstacles. From the examples, it is proved the algorithm is simple and reasonable.
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