Research of time series air quality data based on exploratory data analysis and representation

被引：0
|
作者：
Yu, Changhui [1 ]
机构：
[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, 129 Luoyu Road, Wuhan 430079, Peoples R China
来源：
2016 FIFTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS) | 2016年
关键词：
environment problem; air quality data; NO2; exploratory data Analysis;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
The environmental problem, especially the air quality such as the content of PM2.5, is an important hot spot in the international community. Many cities release of air environment quality data in real time to monitor the dynamic changes of environment and had accumulated lots of environment data. By exploring and analyzing these time series monitoring data, we can get a lot of interesting information. The paper explores the time series air quality monitoring data based on exploratory data analysis and visual representation. The analysis results can be used to study the time distribution of air environmental quality and its dynamic changes.
引用
收藏
页码：27 / 31
页数：5
相关论文
共 50 条
  • [21] Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement Learning
    Shi, Yang
    Chen, Bingchang
    Chen, Ying
    Jin, Zhuochen
    Xu, Ke
    Jiao, Xiaohan
    Gao, Tian
    Cao, Nan
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 30 (01) : 1172 - 1182
  • [22] DATA QUALITY MONITORING: INDEPENDENT COMPONENT ANALYSIS FOR TIME SERIES
    Faier, Jose Marcio
    de Seixas, Jose Manoel
    18TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2010), 2010, : 1761 - 1765
  • [23] Time Series Data Quality Enhancing Based on Pattern Alignment
    Huang, Jianping
    Chen, Hao
    Wang, Hongkai
    Feng, Jun
    Peng, Liangying
    Liang, Zheng
    Wang, Hongzhi
    Fan, Tianlan
    Yu, Tianren
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS. DASFAA 2022 INTERNATIONAL WORKSHOPS, 2022, 13248 : 363 - 375
  • [24] The air quality analysis of Dalian based on the data of AQI
    Gu Ji-lin
    Liu Miao
    FOURTH SEMINAR ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION, 2018, 10697
  • [25] Air Quality Evaluation Method Based on Data Analysis
    Ma, Haitao
    Yue, Shihong
    Li, Jia
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 3162 - 3167
  • [26] LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data
    Wei, Yuanyuan
    Jang-Jaccard, Julian
    Xu, Wen
    Sabrina, Fariza
    Camtepe, Seyit
    Boulic, Mikael
    IEEE SENSORS JOURNAL, 2023, 23 (04) : 3787 - 3800
  • [27] The Financial Data of Anomaly Detection Research based on Time Series
    Guo, Chen-Ming
    Xu, Ling-Yu
    Liu, Hui-Fang
    Wang, Lei
    Yu, Xiang
    Han, Bo
    2015 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATIONS (CSA), 2015, : 86 - 89
  • [28] The analysis of ballast Settlement data based on time series
    Ni, Tieshan
    FRONTIERS OF GREEN BUILDING, MATERIALS AND CIVIL ENGINEERING, PTS 1-8, 2011, 71-78 : 3929 - 3932
  • [29] INTELLIGENCE ANALYSIS OF EMPIRICAL DATA BASED ON TIME SERIES
    Ivanets, O. B.
    Khrashchevskyi, R., V
    Kulik, M. S.
    Burichenko, M. Yu
    RADIO ELECTRONICS COMPUTER SCIENCE CONTROL, 2023, (02) : 61 - 71
  • [30] The analysis of ballast Settlement data based on time series
    Jilin Architecture and Civil Engineering Institute, Changchun, 130117, China
    Appl. Mech. Mater., (3929-3932):
12345