移动环境自适应地图综合方法初探

An Elementary Approach of Adaptive Generalization in Mobile Environment

随着移动定位服务等技术的飞速发展,地图综合在专题内容、综合效率等方面已不能满足移动地图服务的需要。这就要求针对当前的移动环境,发展自适应地图综合方法。在系统分析当今移动环境自适应地图综合研究现状的基础上,指出移动环境自适应地图综合的理论基础与技术背景,提出移动环境自适应地图综合的基本思想、特征与关键问题,并以南京市湖南路商业区居民地为试验数据,实现了自适应于用户位置的居民地简化算法。

Accompanying with the fast development of technology such as LBS, map generalization especially on the material of thematic map and generalizing efficiency can not meet the need of mobile map services. Adaptive generalization in the mobile environment should be developed to solve the problem arose in mobile environment. On the basis of analyzing the state-of-art of the methods of adaptive generalization, we pointed out the theory foundation and techni- cal background of adaptive generalization. Also we put forward the basic idea, characteristic and key points of adaptive generalization. At last, we took the building data of Hunan Road which is a business district in Nanjing and realized the adaptive algorithm of building simplification according to the distance between location of user and the building to be simplified.