Research Article
Air Quality Prediction Model Based on Spatiotemporal Data Analysis and Metalearning
| Attribute | Number of different items | Beijing | Tianjin | Shenzhen | Guangzhou |
| Time span | 2014/5/1-2015/4/30 | 2014/5/1-2015/4/30 | 2014/5/1-2015/4/30 | 2014/5/1-2015/4/30 | AQIs | 278023 | 189604 | 88139 | 281436 | Station ID | 36 | 27 | 11 | 42 | Major pollutants | PM10 | 278023 | 189604 | 88139 | 281436 | NO2 | CO | O3 | SO2 | Historical weather | District ID | 17 | 20 | 7 | 5 | Basic weather | 116867 | 106614 | 30305 | 55632 | Temperature | Pressure | Humidity | Wind speed | Wind direction | Weather forecast | District ID | 17 | 20 | 6 | 5 | Basic weather | 390702 | 361624 | 106380 | 51870 | Wind strength | Wind direction |
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