| 自发地理信息兴趣点数据在线综合与多尺度可视化方法 |
| |
| 引用本文： | 杨敏,艾廷华,卢威,成晓强,周启.自发地理信息兴趣点数据在线综合与多尺度可视化方法[J].测绘学报,2015,44(2):228-234. |
| |
| 作者姓名： | 杨敏 艾廷华 卢威 成晓强 周启 |
| |
| 作者单位： | 1. 武汉大学 资源与环境科学学院, 湖北 武汉 430072;2. 四川省第二测绘地理信息工程院, 四川 成都 100017 |
| |
| 基金项目： | 中国博士后科学基金(2014M552075)；四川测绘地理信息局2013年科技项目(J2013ZC02)Foundation support The China Postdoctoral Science Foundation(No ．2014M552075)；Science and Tech-nology Plan of Sichuan Bureau of Surveying ，Mapping and Geoinformation |
| |
| 摘 要： | 移动及Web环境下,集成各种自发地理信息POI数据与地理框架背景数据的混搭式地图应用,越来越多地出现在主流地理信息平台及LBS服务中。由于缺乏适宜的在线多尺度可视化机制,这种POI数据表达上通常出现拥挤、压盖等冲突现象。针对该问题,本研究将传统的尺度变换方法与在线环境相结合,提出一种面向城市设施POI数据的多尺度可视化策略。即由服务器端通过预处理方式对POI数据进行多层次结构化组织;在此基础上,客户端依据显示比例尺导出对应层次的POI目标,并通过移位操作解决局部存在的符号表达冲突现象。试验表明,该方法符合数字化网络应用的在线实时需求,同时也能获得较高质量的多尺度表达效果。
|
| 关 键 词： | 自发地理信息 城市设施兴趣点数据 多尺度可视化 在线综合 |
| 收稿时间： | 2013-12-04 |
| 修稿时间： | 2014-04-24 |
A Real-time Generalization and Multi-scale Visualization Method for POI Data in Volunteered Geographic Information |
| |
| YANG Min
,
AI Tinghua
,
LU Wei
,
CHENG Xiaoqiang
,
ZHOU Qi.A Real-time Generalization and Multi-scale Visualization Method for POI Data in Volunteered Geographic Information[J].Acta Geodaetica et Cartographica Sinica,2015,44(2):228-234. |
| |
| Authors: | YANG Min AI Tinghua LU Wei CHENG Xiaoqiang ZHOU Qi |
| |
| Institution: | 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China;2. The Second Surverying, Mapping and Geoinformation Engineering Institute of Sichuan Province, Chengdu 100017, China |
| |
| Abstract: | With the development of mobile and Web technologies ,there has been an increasing number of map‐based mashups which display different kinds of POI data in volunteered geographic information .Due to the lack of suitable mechanisms for multi‐scale visualization ,the display of the POI data often results in the icon clustering problemwith icons touching and overlapping each other .This paper introduces a multi‐scale visualization method for urban facility POI data by combing the classic methods of generalization and on‐line environment .Firstly ,we organize the POI data into hierarchical structure by preprocessing in the server‐side ;the POI features then will be obtained based on the display scale in the client‐side and the displacement operation will be executed to resolve the local icon conflicts .Experiments show that this approach can not only achieve the requirements of real‐time online ,but also can get better multi‐scale representation of POI data . |
| |
| Keywords: | volunteered geographic information urban facility POI data multi-scale visualization real-time generalization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《测绘学报》浏览原始摘要信息 |
| 点击此处可从《测绘学报》下载免费的PDF全文 |
|
