A real-time generalization and multi-scale visualization method for POI data in volunteered geographic information

被引：0

作者：

Yang, Min ^{[1
]}

Ai, Tinghua ^{[1
]}

Lu, Wei ^{[1
]}

Cheng, Xiaoqiang ^{[1
]}

Zhou, Qi ^{[2
]}

机构：

[1] School of Resource and Environmental Sciences, Wuhan University, Wuhan

[2] The Second Surverying, Mapping and Geoinformation Engineering Institute of Sichuan Province, Chengdu

来源：

Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2015年 / 44卷 / 02期

基金：

中国博士后科学基金;

关键词：

Multi-scale visualization; Real-time generalization; Urban facility POI data; Volunteered geographic information;

D O I：

10.11947/j.AGCS.2015.20130564

中图分类号：

学科分类号：

摘要：

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 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. ©, 2015, SinoMaps Press. All right reserved.

引用

页码：228 / 234

页数：6

共 26 条

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