基于聚类过程的多比例尺GIS空间数据模型设计

Layer-structure Spatial Data Model and Application Based on Clustering Analysis

在面向对象的数据模型的构造基础上,提出一种基于聚类过程的多比例尺空间数据模型,并得到尺度依赖的空间数据表达。以图斑数据为实例,通过空间分布与距离信息的聚类过程,建立了图斑数据的多比例尺分层分区的数据模型,从而由数据本身实现多尺度表达与综合的模型化,降低或消除了制图综合过程中的主观影响和不稳定性,改进和提高了多尺度表达与综合的效果和质量。

In this paper, an object-based spatial data model in the way of clustering is proposed and the multi-scale representation of spatial data is obtained simultaneity. By the example of speckle-data, a multi-scale layer-section data model is set up on the clustering analysis of information of spatial distribution and distances. This model helps reducing or releasing the subjective influence in the cartography processing so that improve the effect and quality of the multi-scale generalization and representation.