{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T05:05:38Z","timestamp":1785474338334,"version":"3.56.0"},"reference-count":27,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2016,12,24]],"date-time":"2016-12-24T00:00:00Z","timestamp":1482537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61402435"],"award-info":[{"award-number":["61402435"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1435220"],"award-info":[{"award-number":["U1435220"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research Program of China","award":["2016YFB1000600"],"award-info":[{"award-number":["2016YFB1000600"]}]},{"name":"National Key Research Program of China","award":["2016YFB0501900"],"award-info":[{"award-number":["2016YFB0501900"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s17010030","type":"journal-article","created":{"date-parts":[[2016,12,28]],"date-time":"2016-12-28T11:22:14Z","timestamp":1482924134000},"page":"30","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A Visual Analytics Approach for Station-Based Air Quality Data"],"prefix":"10.3390","volume":"17","author":[{"given":"Yi","family":"Du","sequence":"first","affiliation":[{"name":"Department of Big Data Technology and Application Development, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cuixia","family":"Ma","sequence":"additional","affiliation":[{"name":"Intelligence Engineering Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Computing, Imperial College London, London SW7 2AZ, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowei","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Big Data Technology and Application Development, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yike","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Computing, Imperial College London, London SW7 2AZ, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2144-1131","authenticated-orcid":false,"given":"Yuanchun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Big Data Technology and Application Development, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhui","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Big Data Technology and Application Development, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2224","DOI":"10.1016\/S0140-6736(12)61766-8","article-title":"A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990\u20132010: A systematic analysis for the Global Burden of Disease Study 2010","volume":"380","author":"Lim","year":"2013","journal-title":"Lancet"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1016\/S0140-6736(13)62693-8","article-title":"Haze, air pollution, and health in China","volume":"382","author":"Xu","year":"2013","journal-title":"Lancet"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1016\/S0140-6736(10)60062-1","article-title":"Environmental health in China: Progress towards clean air and safe water","volume":"375","author":"Zhang","year":"2010","journal-title":"Lancet"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"7561","DOI":"10.1016\/j.atmosenv.2008.05.057","article-title":"A review of land-use regression models to assess spatial variation of outdoor air pollution","volume":"42","author":"Hoek","year":"2008","journal-title":"Atmos. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1559\/152304000783547759","article-title":"Developing a geographic visualization tool to support earth science learning","volume":"27","author":"Harrower","year":"2000","journal-title":"Cartogr. Geogr. Inf. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.jvlc.2007.02.006","article-title":"Exploratory spatio-temporal data mining and visualization","volume":"18","author":"Compieta","year":"2007","journal-title":"J. Vis. Lang. Comput."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Accorsi, P., Fabr\u00e8gue, M., Sallaberry, A., Cernesson, F., Lalande, N., Braud, A., Fabr\u00e8gue, M., Cernesson, F., Braud, A., and Teisseire, M. (2014, January 25\u201331). HydroQual: Visual Analysis of River Water Quality. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, Paris, France.","DOI":"10.1109\/VAST.2014.7042488"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Li, J., Zhang, K., and Meng, Z.P. (2014, January 25\u201331). Vismate: Interactive Visual Analysis of Station-Based Observation Data on Climate Changes. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, Paris, France.","DOI":"10.1109\/VAST.2014.7042489"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1109\/TVCG.2007.70523","article-title":"Visual analysis of the air pollution problem in Hong Kong","volume":"13","author":"Qu","year":"2007","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1109\/TVCG.2007.70570","article-title":"Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup","volume":"13","author":"Wood","year":"2007","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_11","unstructured":"Tominski, C., Schulze-Wollgast, P., and Schumann, H. (2005, January 6\u20138). 3D information visualization for time dependent data on maps, in Information Visualisation. Proceedings of the Ninth International Conference on Information Visualisation (IV\u201905), Washington, DC, USA."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1057\/palgrave.ivs.9500007","article-title":"Geobrowsing: Creative thinking and knowledge discovery using geographic visualization","volume":"1","author":"Peuquet","year":"2002","journal-title":"Inf. Vis."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2565","DOI":"10.1109\/TVCG.2012.265","article-title":"Stacking-Based Visualization of Trajectory Attribute Data","volume":"18","author":"Tominski","year":"2012","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2518","DOI":"10.1109\/TVCG.2011.181","article-title":"Composite Density Maps for Multivariate Trajectories","volume":"17","author":"Scheepens","year":"2011","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1109\/TVCG.2006.84","article-title":"A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)","volume":"12","author":"Diansheng","year":"2006","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/TVCG.2007.70415","article-title":"Visual methods for analyzing time-oriented data","volume":"14","author":"Aigner","year":"2008","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2432","DOI":"10.1109\/TVCG.2011.179","article-title":"CloudLines: Compact Display of Event Episodes in Multiple Time-Series","volume":"17","author":"Krstajic","year":"2011","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Ziegler, H., Jenny, M., Gruse, T., and Keim, D.A. (2010, January 24\u201329). Visual market sector analysis for financial time series data. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, Salt Lake City, UT, USA.","DOI":"10.1109\/VAST.2010.5652530"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1145\/586081.586086","article-title":"Navigation patterns and usability of zoomable user interfaces with and without an overview","volume":"9","author":"Bederson","year":"2002","journal-title":"ACM Trans. Comput. Hum. Interact."},{"key":"ref_20","unstructured":"Hao, M.C., Dayal, U., Keim, D.A., and Schreck, T. (2007, January 23\u201325). Multi-resolution techniques for visual exploration of large time-series data. Proceedings of the EuroVis, Norrk\u00f6ping, Sweden."},{"key":"ref_21","unstructured":"Hao, M.C., Dayal, U., Keim, D.A., and Schreck, T. (2005, January 23\u201325). Importance-driven visualization layouts for large time series data. Proceedings of the IEEE Symposium on Information Visualization, Minneapolis, MN, USA."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1813","DOI":"10.1109\/TVCG.2014.2346746","article-title":"Visual Exploration of Sparse Traffic Trajectory Data","volume":"20","author":"Wang","year":"2014","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_23","unstructured":"Nocke, T., Schumann, H., Bohm, U., and Flechsig, M. (2003, January 7\u201310). Information visualization supporting modelling and evaluation tasks for climate models. Proceedings of the 2003 Winter Simulafion Conference, New Orleans, LA, USA."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Von Landesberger, T., Bremm, S., Andrienko, N., Andrienko, G., and Tekusova, M. (2012, January 14\u201319). Visual analytics methods for categoric spatio-temporal data. Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, Seattle, WA, USA.","DOI":"10.1109\/VAST.2012.6400553"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3148","DOI":"10.1021\/es051533g","article-title":"Chemical characteristics of PM2.5 and PM10 in haze-fog episodes in Beijing","volume":"40","author":"Sun","year":"2006","journal-title":"Environ. Sci. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/j.chemosphere.2015.09.003","article-title":"Concentrations, correlations and chemical species of PM2.5\/PM10 based on published data in china: Potential implications for the revised particulate standard","volume":"144","author":"Zhou","year":"2016","journal-title":"Chemosphere"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.atmosres.2015.08.007","article-title":"Characterization of pm 2.5 and the major chemical components during a 1-year campaign in rural Guangzhou, southern China","volume":"167","author":"Lai","year":"2016","journal-title":"Atmos. Res."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/1\/30\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:29:14Z","timestamp":1760210954000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/1\/30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,24]]},"references-count":27,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,1]]}},"alternative-id":["s17010030"],"URL":"https:\/\/doi.org\/10.3390\/s17010030","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,24]]}}}