多因子影响的地图居民地自动聚群与综合研究

An Approach for Automated Building Grouping and Generalization Considering Multiple Parameters

提出了地图综合目的的居民地聚群需要遵循Gestalt的邻近性、相似性和方向性原则,描述居民地结构、形态及其关系需要6个因子,即居民地间的距离、可视区域面积、大小相似度、形状相似度、方向关系、居民地内部方向;进而运用这些原则和因子,给出了居民地的自动聚群和综合方法。

An approach is presented for automated building grouping and generalization. Three principles in Gestalt theories and six parameters, are selected to describe spatial configurations, distributions and relations of buildings. Based on the rules and the parameters, an approach to building grouping and generalization is derived using Delaunay triangulation. The difference of the method with existing ones is that this method takes into consideration direction relations among buildings. This approach is fully automatic and can be used in generalization of buildings in blocks.