RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems

  title={RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems},
  author={Ruiyun Yu and Yu Kyung Yang and Leyou Yang and Guangjie Han and Oguti Ann Move},
Air quality information such as the concentration of PM2.5 is of great significance for human health and city management. It affects the way of traveling, urban planning, government policies and so on. However, in major cities there is typically only a limited number of air quality monitoring stations. In the meantime, air quality varies in the urban areas and there can be large differences, even between closely neighboring regions. In this paper, a random forest approach for predicting air… CONTINUE READING
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