Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/1847
Título: Mapping atmospheric pollutants emissions in European countries
Autor: Martins, Ana Alexandra A. F.
Cardoso, Margarida G. M. S.
Pinto, Iola M. S.
Palavras-chave: Multidimensional Scaling
Unfolding
Atmospheric Pollution
Nonmetric Scaling Procedure
Monte-Carlo
Random Rankings
Spatital Covariance
Stress Values
Pollution
Goodness
Fit
Data: 2012
Editora: IOS Press
Citação: Martins A A A F, Cardoso M G M S, Pinto I M. Mapping atmospheric pollutants emissions in European countries. Intelligent Data Analysis. 2012; 1 (16): 153-164.
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.21/1847
ISSN: 1088-467X
Aparece nas colecções:ISEL - Matemática - Artigos

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