The importance of the point is described by distance weight and the clustering center point of a point group is obtained by modified k-means algorithm. Furthermore, the clustering center is taken as base to construct hierarchical weighted Voronoi diagram and hierarchical tree structure. Distribution scope, arrangement, and density of the group is taken as the measurement to construct the point generalization method based on hierarchical Voronoi diagram tree structure, thus ensuring the consistency in spatial morphology before and after. Combination with geological statistics calculation, this generalization method is estimated and optimized. Finally, the practicability and availability of this method is confirmed through concrete experiment.
LI Jiatian
,
KANG Shun
,
LUO Fuli
. Point Group Generalization Method Based on Hierarchical Voronoi Diagram[J]. Acta Geodaetica et Cartographica Sinica, 2014
, 43(12)
: 1300
-1306
.
DOI: 10.13485/j.cnki.11-2089.2014.0166
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