Integration of Real-Time Air Pollution Analysis and Mapping Based on Multisource Data

Abstract

This paper presents a novel method of real-time air pollution analysis. First, we acquire real-time air quality data in several methods via Internet. Second, by combining them with population, elevation, and industry information, we analyze the air quality using the classification model of random forest. Last, we generate on-the-fly thematic maps automatically to visualize the classification results.