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Time Analysis of Air Pollution in a Spanish Region Through k-means

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International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 (SOCO 2016, CISIS 2016, ICEUTE 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 527))

Abstract

This study presents the application of clustering techniques to a real-life problem of studying the air quality of the Castilla y León region in Spain. The goal of this work is to analyze the level of air pollution in eight points of this Spanish region between years 2008 and 2015. The analyzed data were provided by eight acquisition stations from the regional network of air quality. The main pollutants recorded at these stations are analyzed in order to study the characterization of such stations, according to a zoning process, and their time evolution. Four cluster evaluation and a clustering technique, with the main distance measures, have been applied to the dataset under analysis.

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References

  1. Government of Spain - Aporta Project. http://administracionelectronica.gob.es

  2. Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. (CSUR) 31(3), 264–323 (1999)

    Article  Google Scholar 

  3. Kassomenos, P., Vardoulakis, S., Borge, R., Lumbreras, J., Papaloukas, C., Karakitsios, S.: Comparison of statistical clustering techniques for the classification of modelled atmospheric trajectories. Theoret. Appl. Climatol. 102, 1–12 (2010)

    Article  Google Scholar 

  4. Pires, J.C.M., Sousa, S.I.V., Pereira, M.C., Alvim-Ferraz, M.C.M., Martins, F.G.: Management of air quality monitoring using principal component and cluster analysis—Part I: SO2 and PM10. Atmos. Environ. 42(6), 1249–1260 (2008)

    Article  Google Scholar 

  5. European Commission - Air Quality Standards. http://ec.europa.eu/environment/air/quality/standards.htm

  6. Liu, Y., Li, Z., Xiong, H., Gao, X., Wu, J.: Understanding of internal clustering validation measures. In: IEEE International Conference on Data Mining, pp. 911–916 (2010)

    Google Scholar 

  7. Jain, A.K.: Data clustering: 50 years beyond K-means. Pattern Recogn. Lett. 31, 651–666 (2010)

    Article  Google Scholar 

  8. Barlow, H.: Unsupervised learning. Neural Comput. 1, 295–311 (1989)

    Article  Google Scholar 

  9. Caliński, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat. Theory Methods 3, 1–27 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  10. Rousseeuw, P.J.: Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987)

    Article  MATH  Google Scholar 

  11. Davies, D.L., Bouldin, D.W.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1(2), 224–227 (1979)

    Article  Google Scholar 

  12. Tibshirani, R., Walther, G., Hastie, T.: Estimating the number of clusters in a data set via the gap statistic. J. Roy. Stat. Soc.: Ser. B (Stat. Methodol.) 63, 411–423 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  13. Ding, C., He, X.: K-means clustering via principal component analysis. In: Proceedings of the Twenty-First International Conference on Machine Learning, p. 29 (2004)

    Google Scholar 

  14. Danielsson, P.E.: Euclidean distance mapping. Comput. Graph. Image Process. 14, 227–248 (1980)

    Article  Google Scholar 

  15. Government of Castilla y León - Zoning of the territory in Castilla y León. http://www.jcyl.es/

  16. European Union Law - Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. http://eur-lex.europa.eu/

  17. Government of Castilla y León - Annual reports of the Air Quality. http://www.medioambiente.jcyl.es/

  18. PubChem - PubChem Compounds. https://pubchem.ncbi.nlm.nih.gov/compound

  19. ISO - International Organization for Standardization. PM10/PM2.5. https://www.iso.org/

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Authors and Affiliations

  1. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Ángel Arroyo & Álvaro Herrero

  2. Department of Physics, University of Burgos, Burgos, Spain

    Verónica Tricio

  3. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    Emilio Corchado

Authors
  1. Ángel Arroyo
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  2. Verónica Tricio
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  3. Álvaro Herrero
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  4. Emilio Corchado
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Corresponding author

Correspondence to Ángel Arroyo .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Manuel Graña

  2. University of the Basque Country, Vitoria, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  6. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Arroyo, Á., Tricio, V., Herrero, Á., Corchado, E. (2017). Time Analysis of Air Pollution in a Spanish Region Through k-means. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-47364-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47363-5

  • Online ISBN: 978-3-319-47364-2

  • eBook Packages: EngineeringEngineering (R0)

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