Bidimensional and Multidimensional Principal Component Analysis in Long Term Atmospheric Monitoring

Abstract

Atmospheric monitoring produces huge amounts of data. Univariate and bivariate statistics are widely used to investigate variations in the parameters. To summarize information graphs are usually used in the form of histograms or tendency profiles (e.g., variable concentration vs. time), as well as bidimensional plots where two-variable correlations are… (More)

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Cite this paper

@inproceedings{Giussani2016BidimensionalAM, title={Bidimensional and Multidimensional Principal Component Analysis in Long Term Atmospheric Monitoring}, author={Barbara Giussani and Simone Roncoroni and Sandro Recchia and Andrea Pozzi and Robert W. Talbot}, year={2016} }