Acta Scientiarum Naturalium Universitatis Pekinensis

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A Technique on Automatic Compression and Recovery of Fundamental GIS Spatial Data on Varying Map Scale

YIN Lianwang, LI Jing   

  1. Institute of Remote Sensing and GIS, Peking University, Beijing, 100871
  • Received:1998-07-08 Online:1999-11-20 Published:1999-11-20



  1. 北京大学遥感与地理信息系统研究所,北京,100871

Abstract: Based on the traditional theory of cartographic generalization, this paper has proposed a relatively systematic, scientific and practical model of quantity selection of spatial objects. It is based mainly on spatial features properties and can be used to compress and recover geographic information in forms of vector automatically in accordance with the map scale. Then through the experiment of multiscale GIS with a set of maps in the region of Dalian, Liaoning province, this model and technique have been proved valuable and relatively successful.

Key words: cartographic generalization, data processing on varying map scale, quantitative selecting model of geographic elements

摘要: 从理论上阐述了GIS环境下无级比例尺矢量数据信息压缩与复现的基本原理与方法,对地图制图综合的本质特征及空间地理信息量随比例尺变化的增减规律进行了系统的分析。根据地理要素的空间属性特征和重要程度,提出了一种新的适于GIS无级比例尺数据处理的空间对象数量选取模型及其算法,并通过对大连地区系列比例尺地形图进行制图综合与无级比例尺数据压缩与复现的实验,证明本文所提出的理论、模型及算法具有一定的实用价值。

关键词: 制图综合, 无级比例尺数据处理, 数量选取模型

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