基于多源数据的实时空气污染分析与制图集成

2017 International Conference on Network and Information Systems for Computers (ICNISC) Pub Date : 2017-04-01 DOI:10.1109/ICNISC.2017.00054

Chen Chen, Qiang Liu, Pei-wen Liu, Yaosen Huang, Wei-qing Li, Hao Luo

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引用次数: 0

摘要

本文提出了一种实时空气污染分析的新方法。首先，我们通过互联网通过多种方法获取实时空气质量数据。其次，结合人口、海拔和行业信息，采用随机森林分类模型对空气质量进行分析。最后，自动生成动态专题地图，实现分类结果的可视化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2017 International Conference on Network and Information Systems for Computers (ICNISC)

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