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Martins, A. A. A. F., Cardoso, M. & Pinto, I. M. S. (2012). Mapping atmospheric pollutant emissions in European countries. Intelligent Data Analysis. 16 (1), 153-164

A. A. Martins et al.,  "Mapping atmospheric pollutant emissions in European countries", in Intelligent Data Analysis, vol. 16, no. 1, pp. 153-164, 2012

@article{martins2012_1732207541513,
	author = "Martins, A. A. A. F. and Cardoso, M. and Pinto, I. M. S.",
	title = "Mapping atmospheric pollutant emissions in European countries",
	journal = "Intelligent Data Analysis",
	year = "2012",
	volume = "16",
	number = "1",
	doi = "10.3233/IDA-2011-0515",
	pages = "153-164",
	url = "http://content.iospress.com/articles/intelligent-data-analysis/ida00515"
}

TY  - JOUR
TI  - Mapping atmospheric pollutant emissions in European countries
T2  - Intelligent Data Analysis
VL  - 16
IS  - 1
AU  - Martins, A. A. A. F.
AU  - Cardoso, M.
AU  - Pinto, I. M. S.
PY  - 2012
SP  - 153-164
SN  - 1088-467X
DO  - 10.3233/IDA-2011-0515
UR  - http://content.iospress.com/articles/intelligent-data-analysis/ida00515
AB  - In this paper we present a methodology which enables the graphical representation, in a bi-dimensional Euclidean space, of atmospheric pollutants emissions in European countries. This approach relies on the use of Multidimensional Unfolding (MDU), an exploratory multivariate data analysis technique. This technique illustrates both the relationships between the emitted gases and the gases and their geographical origins. The main contribution of this work concerns the evaluation of MDU solutions. We use simulated data to define thresholds for the model fitting measures, allowing the MDU output quality evaluation. The quality assessment of the model adjustment is thus carried out as a step before interpretation of the gas types and geographical origins results. The MDU maps analysis generates useful insights, with an immediate substantive result and enables the formulation of hypotheses for further analysis and modeling. 
ER  -