Multi-scale Clustering of Points Synthetically Considering Lines and Polygons Distribution

Multi-scale Clustering of Points Synthetically Considering Lines and Polygons Distribution

Considering the complexity and discontinuity of spatial data distribution, a clustering algorithm of points was proposed. To accurately identify and express the spatial correlation among points,lines and polygons, a Voronoi diagram that is generated by all spatial features is introduced. According t...

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Bibliographic Details
Main Authors: YU Li, GAN Shu, YUAN Xiping, YANG Minglong
Format: Article
Language:zho
Published: Surveying and Mapping Press 2015-10-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
spatial clustering
multi-scale
Voronoi diagram of all features
constraints
Online Access:http://html.rhhz.net/CHXB/html/2015-10-1152.htm

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