El papel del análisis por componentes principales en la evaluación de redes de control de la calidad del aire.

  1. Josué M. Polanco Martínez 1
  1. 1 University of Bordeaux
    info

    University of Bordeaux

    Burdeos, Francia

    ROR https://ror.org/057qpr032

Journal:
Comunicaciones en Estadística

ISSN: 2027-3355,  2339-3076

Year of publication: 2016

Volume: 9

Issue: 2

Pages: 271-294

Type: Article

DOI: 10.15332/S2027-3355.2016.0002.06 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Comunicaciones en Estadística

Abstract

One of the most statistical techniques used in environmental sciences is the Principal Component Analysis (PCA). This technique consist in a linear decomposition of a set of correlated variables into a set of uncorrelated variables named principal components. It is one of the simplest and most robust ways of doing dimensionality reduction. The PCA is widely used in the study of environmental phenomena, from the analysis of meteorological fields to the evaluation of air quality monitoring networks (AQMN). Due to the potential use of this method, more information in Spanish is required. For these reasons, we are highly motivated to contribute with this review paper, which contains the state of the art to evaluate AQMN by means of PCA. Additionally, some examples (simulated and real-world data) are presented to exemplify the use of this technique.

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