自发地理信息兴趣点数据在线综合与多尺度可视化方法

doi:10.11947/j.AGCS.2015.20130564

测绘学报 ›› 2015, Vol. 44 ›› Issue (2): 228-234.doi: 10.11947/j.AGCS.2015.20130564

自发地理信息兴趣点数据在线综合与多尺度可视化方法

杨敏¹, 艾廷华¹, 卢威¹, 成晓强¹, 周启²

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

收稿日期:2013-12-04 修回日期:2014-04-24 出版日期:2015-02-20 发布日期:2015-02-14
作者简介:杨敏(1985—),男,博士后,讲师,研究方向为地图综合、空间数据匹配集成及更新。E-mail:yangmin_whu@163.com
基金资助:
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)

A Real-time Generalization and Multi-scale Visualization Method for POI Data in Volunteered Geographic Information

YANG Min¹, AI Tinghua¹, LU Wei¹, CHENG Xiaoqiang¹, ZHOU Qi²

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

Received:2013-12-04 Revised:2014-04-24 Online:2015-02-20 Published:2015-02-14
Supported by:
The China Postdoctoral Science Foundation(No.2014M552075);Science and Technology Plan of Sichuan Bureau of Surveying,Mapping and Geoinformation(No.J2013ZC02)

摘要/Abstract

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

Abstract: With the development of mobile and Web technologies, there has been an increasing number of map-based mushups 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 result in the icon clustering problem with 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.

Key words: volunteered geographic information, urban facility POI, multi-scale visualization, real-time generalization

中图分类号:

P208

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.

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.

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自发地理信息兴趣点数据在线综合与多尺度可视化方法

A Real-time Generalization and Multi-scale Visualization Method for POI Data in Volunteered Geographic Information

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