Name
Abstract | ||
|---|---|---|
With the rapid development of industrial society, air pollution has become a major issue in the modern world. The development and widespread deployment of sensors has enabled the collection of air-quality datasets with detailed spatial and temporal scales. Analyses of these spatiotemporal air-quality datasets can help decision makers explore the major causes of air pollution and find efficient sol... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MCG.2017.3621228 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Air pollution,Visualization,Hierarchical systems,Cluster approximation | Hierarchical clustering,Data science,Data mining,Temporal scales,Multidimensional scaling,Computer science,Visualization,Visual analytics,Air quality index,Voronoi diagram,Computer graphics | Journal |
Volume | Issue | ISSN |
37 | 5 | 0272-1716 |
Citations | PageRank | References |
6 | 0.44 | 7 |
Authors | ||
6 | ||