A visual analytics approach for station-based air quality data
文献类型：期刊论文
| 作者 | Du, Yi1; Ma, Cuixia2; Wu, Chao3; Xu, Xiaowei1; Guo, Yike3; Zhou, Yuanchun1; Li, Jianhui1 |
| 刊名 | Sensors
 |
| 出版日期 | 2017 |
| 卷号 | 17期号:1页码:17 |
| 关键词 | Visual analytics Spatio-temporal visualization Time series visualization Multi-dimensional visualization Air pollution |
| ISSN号 | 1424-8220 |
| DOI | 10.3390/s17010030 |
| 通讯作者 | Li, jianhui(lijh@cnic.cn) |
| 英文摘要 | With the deployment of multi-modality and large-scale sensor networks for monitoring air quality, we are now able to collect large and multi-dimensional spatio-temporal datasets. for these sensed data, we present a comprehensive visual analysis approach for air quality analysis. this approach integrates several visual methods, such as map-based views, calendar views, and trends views, to assist the analysis. among those visual methods, map-based visual methods are used to display the locations of interest, and the calendar and the trends views are used to discover the linear and periodical patterns. the system also provides various interaction tools to combine the map-based visualization, trends view, calendar view and multi-dimensional view. in addition, we propose a self-adaptive calendar-based controller that can flexibly adapt the changes of data size and granularity in trends view. such a visual analytics system would facilitate big-data analysis in real applications, especially for decision making support. |
| WOS关键词 | CHINA ; VISUALIZATION ; EXPLORATION ; POLLUTION ; EPISODES ; HEALTH ; PM2.5 ; HAZE |
| WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
| WOS类目 | Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000393021000030 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374226 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | Li, Jianhui |
| 作者单位 | 1.Chinese Acad Sci, Dept Big Data Technol & Applicat Dev, Comp Network Informat Ctr, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Software, Intelligence Engn Lab, Beijing 100190, Peoples R China 3.Imperial Coll London, Dept Comp, London SW7 2AZ, England |
| 推荐引用方式 GB/T 7714 | Du, Yi,Ma, Cuixia,Wu, Chao,et al. A visual analytics approach for station-based air quality data[J]. Sensors,2017,17(1):17. |
| APA | Du, Yi.,Ma, Cuixia.,Wu, Chao.,Xu, Xiaowei.,Guo, Yike.,...&Li, Jianhui.(2017).A visual analytics approach for station-based air quality data.Sensors,17(1),17. |
| MLA | Du, Yi,et al."A visual analytics approach for station-based air quality data".Sensors 17.1(2017):17. |
入库方式： iSwitch采集
来源：计算机网络信息中心
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。