摘要
近年来,随着地理信息的发展,POI数据量越来越大,导致在电子地图配图时出现严重的叠加问题,为了更好地显示地名/地址数据及产生更好地配图效果,需要对图层数据进行抽稀,图层数据抽稀首先需要挖掘数据的关联规则并建立模型,而粒计算可以做到这一点,所以本文从等价粒的角度出发,提出了基于粒计算的点抽稀算法,本文不仅给出基于粒计算的点抽稀算法的文字描述步骤和实现该算法的SQLServer存储过程并且给出了实例说明,证明基于粒计算的点抽稀算法具有简单、高效、实用的特点,能满足实际需要。
In recent years, with the development of geographic information, POI data is more and more serious, resulting in the superposition problem in the electronic map drawing. in order to better display the name / address data and produce better image effect, the need for data layer thinning. thinning layer data requires data mining association rules and establish the granular computing model, can achieve this point, so this paper from the angle of equivalent grain, the granular computing point thinning algorithm based on granular computing, this paper not only gives the point thinning algorithm based on text describes steps and implementation of SQLServer storage process of the algorithm and gives examples of proof, granular computing point thinning algorithm has the characteristics of simple, efficient and practical based, can meet the practical needs.
出处
《软件》
2016年第7期80-83,共4页
Software
关键词
粒计算
等价粒
点抽稀
电子地图
Granular computing
Equivalence granule
Point pumping
Electronic map
