Correspondence Analysis on a Space-Time Data Set for Multiple Environmental VariablesReport as inadecuate




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Applications of themultivariate technique called correspondence analysis for environmental studiesare relatively new and are limited to spatial multivariate data set. In thispaper, a procedure of applying correspondence analysis to a large space-timedata set for multiple environmental variables is shown. In particular, nitrogendioxide and carbon monoxide hourly concentrations measured during January 1999at several monitored stations in a district of Northern Italy are analyzed. Theprocedure consists in transforming the continuous variables into categoricalones by the means of appropriate indicator variables, generating specialcontingency tables and applying correspondence analysis. The use of thisclassical multivariate technique allows the identification of importantrelationships among pollution levels and monitoring stations and-orrelationships among pollution levels and observation times.

KEYWORDS

Space-Time Data, Indicator Transform, Correspondence Analysis

Cite this paper

Monica, P. 2015 Correspondence Analysis on a Space-Time Data Set for Multiple Environmental Variables. International Journal of Geosciences, 6, 1154-1165. doi: 10.4236-ijg.2015.610090.





Author: Palma Monica

Source: http://www.scirp.org/



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