• 论文 •

### 基于空间结构分析的地图概括研究

1. 中山大学城市与资源规划系, 广州 510275
• 收稿日期:2001-05-20 修回日期:2001-09-23 出版日期:2001-10-15 发布日期:2001-10-15
• 作者简介:张青年(1968-),男,湖北京山人,博士,讲师。现从事自动制图、网络地理信息系统等方面的研 究与教学工作,发表论文近20篇。

### On the identification and generalization of spatial structure in GIS

ZHANG Qing-nian

1. Department of Urban and Resources Planning, Zhongshan University, Guangzhou 510275, China
• Received:2001-05-20 Revised:2001-09-23 Online:2001-10-15 Published:2001-10-15

Abstract:

Spatial structural patterns are very important reformation inflecting regional characteristics. However, they are seldom explicitly expressed in geo-data bases. In order to express them in generalized maps derived from geo-data set, spatial structural units need to be identified beforehand. This involves in the classification, identification, description and generalization of spatial structural patterns. This paper includes three sections. The first two parts discuss the classification and identification of spatial structure patterns. Spatial distribution can be subdivided into three categories, i.e., point, linear, and areal phenomena, which can be further divided into uniform, agglomerate, or random point/areal patterns, and isolated, grouped, nested, dendriform, or netlike linear patterns. Spatial structural units can be identified by means of comparison between digital model and theoretic model, which are derived from geographical entity. Theoretic models of structural patterns are usually described by a group of parameters, such as polarity, linearity, and symmetry. The third section studies the method to generalize spatial structure of point, linear, and areal phenomena. Among point and areal distribution, clusters are the most important structural units. Clusters can be generalized by means of boundary adjustment and inner structure simplification. As for linear distribution, dendriform and netlike patterns are the most important units. The generalization of both of them involves in trunk lines selection and typification of characteristic patterns, which need to be dealt with different methods according to concrete situation.

PACS:

• P283.1