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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