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Dimensionality Reduction and Visualization of the Environmental Impacts of Domestic Appliances

Bibliographic Data

ID19467660
AuthorsEster Gutiérrez (0000-0001-9642-3195, Universidad de Sevilla), Sebastián Lozano (0000-0002-0401-3584, Universidad de Sevilla), Belarmino Adenso-Dı́az (0000-0002-6519-9810, Universidad de Oviedo), Belarmino Adenso‐Díaz
Year2010
Volume14
Issue6
Pages878-889
Publication date2010-12-01
Open AccessYes
TypeARTICLE
VenueJournal of Industrial Ecology (JOURNAL)
Journal identifiersISSN: 1088-1980 • E-ISSN: 1530-9290
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1111/j.1530-9290.2010.00291.x
OpenAlexW1964651540
LanguageEN
Citations received2
References cited24

There is an increasing worldwide concern about the problem of dealing with the waste electrical and electronic equipment (WEEE), given the high volume of appliances that are disposed of every day. In this article, an environmental evaluation of WEEE is performed that combines life cycle assessment (LCA) methodology and multivariate statistical techniques. Because LCA handles a large number of data in its different phases, when one is trying to uncover the structure of large multidimensional data sets, multivariate statistical techniques can provide useful information. In particular, principal‐component analysis and multidimensional scaling are two important dimension‐reducing tools that have been shown to be of help in understanding this type of complex multivariate data set. In this article, we use a variable selection method that reduces the number of categories for which the environmental impacts have to be computed; this step is especially useful when the number of impact categories or the number of products or processes to benchmark increases. We provide a detailed illustration showing how we have used the proposed approach to analyze and interpret the environmental impacts of different domestic appliances

Curse of dimensionality · Data mining · Dimensionality reduction · Environmental data · Industrial ecology · Life-cycle assessment · Machine learning · Multidimensional scaling · Multivariate statistics · Principal component analysis · Sustainability · Visualization · Computer Science · Environmental Impact and Sustainability · Mathematics · Municipal Solid Waste Management · Recycling and Waste Management Techniques · Artificial Intelligence

  • Business‐to‐Business Information Technology User Practices at End of Life in the United Kingdom, Germany, and France

    Open Access•Richard Peagam, Kirstie McIntyre et al.•Journal of Industrial Ecology•2013

  • Headline Environmental Indicators Revisited with the Global Multi‐Regional Input‐Output Database Exiobase

    Open Access•Zoran J N Steinmann, Aafke M Schipper et al.•Journal of Industrial Ecology•2018

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    Open Access•Leonard Kaufman, Peter J Rousseeuw•Finding Groups in Data•1990

  • Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis

    Open Access•Joseph B Kruskal•Psychometrika•1964

  • Recent developments in Life Cycle Assessment

    Open Access•Göran Finnveden, Michael Zwicky Hauschild et al.•Journal of Environmental Management•2009

  • Global perspectives on e-waste

    Open Access•Rolf Widmer, Heidi Oswald-Krapf et al.•Environmental Impact Assessment…•2005

  • Does Weee recycling make sense from an environmental perspective

    Open Access•Roland Hischier, Patrick Wäger et al.•Environmental Impact Assessment…•2005

  • Key drivers of the e-waste recycling system

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Citations per year0.15
Citation span2013 - 2018 (6)
Highly citedNo

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