首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于百度地图的标记点聚合算法研究
引用本文:戴凤娇,肖林华,杨琭,刘志远.基于百度地图的标记点聚合算法研究[J].中国科技信息,2013(23):82-85.
作者姓名:戴凤娇  肖林华  杨琭  刘志远
作者单位:华北电力大学控制与计算机工程学院,北京
摘    要:基于数字地图的应用,因其在可视化等方面的优势,得到了人们越来越多的青睐.随着第三方API功能的加强丰富,搭建地图应用变得更加便捷.综合各方面考虑,文章实验中采用百度Map API实现.数字地图为用户提供了一种新的信息查询方式,查询结果通常以标记点的形式展现.然而用户的可视区域有限,如何在当前缩放级别下,利用最小的区域展示出最全面的信息,而又不产生重叠覆盖,就需要利用标记聚合技术,文章重点介绍了基于视图矩形的标记点聚合算法及基于距离的标记点聚合算法.基于视图矩形的聚合算法简单易实现,基于距离的聚合算法则更灵活些.

关 键 词:数字地图  百度Map  API  标记点聚合

The Research of Marker Clustering Algorithms based on Baidu Map API
Abstract:Because of its powerful ability in visualize, applications which based on digital map are preferred by more and more people. Now building map applications are much more convenient with the use of map API provided by third-party which function is abundant and efficient. Summing up all the considerations, the article uses Baidu Map API for implementation. Digital map applications provide users with a new method of information query. Query results are usually demonstrated in the form of markers. However, view area of user is limited, how to use the smallest area to show the most comprehensive intbrmation on the current zoom level without producing overlapping coverage becomes a problem. The solution is to use marker clustering techniques which are also the center issue discussed in this article. The discussion focuses on two kinds of marker clustering algorithms, one is based on rectangular subdivision of user view, and the other is based on distance. The former is simple and easy to achieve, the latter is more flexible.
Keywords:digital map  Baidu Map API  marker clustering algorithms
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号