测绘通报 ›› 2018, Vol. 0 ›› Issue (11): 111-114,125.doi: 10.13474/j.cnki.11-2246.2018.0362

• 技术交流 • 上一篇    下一篇

PM2.5地图可视化中的听觉感知应用

谢文俊1,2, 祝茂良1, 杨鸿海1, 杨乃1,2, 吕建军2   

  1. 1. 青海省地理空间信息技术与应用重点实验室, 青海 西宁 810001;
    2. 中国地质大学信息 工程学院, 湖北 武汉 430074
  • 收稿日期:2018-02-02 出版日期:2018-11-25 发布日期:2018-11-29
  • 作者简介:谢文俊(1993-),女,硕士生,主要研究方向为地图可视化。E-mail:365877330@qq.com
  • 基金资助:
    青海省地理空间信息技术与应用重点实验室基金(QDXS-2017-02);中央高校基本科研业务费专项资金资助项目——优秀青年教师基金(G1323541712);2017年国家重点研发计划(2017YFB0503804)

Auditory Perception Application in PM2.5 Map Visualization

XIE Wenjun1,2, ZHU Maoliang1, YANG Honghai1, YANG Nai1,2, LÜ Jianjun2   

  1. 1. Geomatics Technology and Application Key Laboratory of Qinghai Province, Xining 810001, China;
    2. Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China
  • Received:2018-02-02 Online:2018-11-25 Published:2018-11-29

摘要: 针对地图可视化在视觉障碍群体中存在信息传递不畅的问题,深入剖析声音发声机理,以我国2016年1月1日到1月29日以小时为节点的PM2.5数据为研究对象,充分考虑空气污染等级及不同等级对应监测站点数量,构建基音音名、泛音频率与PM2.5平均值之间、音量大小与不同空间污染等级涵盖的监测站点数之间的映射模型,从而获取声音参数,借助GarageBand音乐制作软件完成PM2.5数据可听化,结合PowerMap创建的PM2.5可视化地图,最终设计制作了PM2.5动态频谱地图。本文研究对多感知通道在地图可视化过程中的应用具有借鉴意义。

关键词: 数据可听化, 听觉感知, 地图可视化, PM2.5, 频谱地图

Abstract: It is hard to transmit information by using map visualization method among the group of people who have dysopia. In view of this problem, we analyze the mechanism of sound production thoroughly and take the PM2.5 data of China from January 1 to January 29 in 2016 as the research object. Considering the air pollution level and the number of monitoring sites at different level, we build mapping models between the fundamental music alphabet, the frequency of overtones and the average value of PM2.5, the volume of overtones and the number of monitoring sites covered by different spatial pollution levels. Then, we obtain the sound parameters, achieve PM2.5 data sonification by using GarageBand music production software, create PM2.5 visual dynamic monitoring map by using PowerMap. Finally, we design the PM2.5 dynamic spectrum map. The research has reference significance for the application of multisensory channel in the process of map visualization.

Key words: data sonification, auditory perception, map visualization, PM2.5, spectrum map

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