Graphical sustainability analysis using disjoint biplots
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DOI: 10.1007/s12351-020-00573-7
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- S. K. Vines, 2000. "Simple principal components," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 441-451.
- Vichi, Maurizio & Saporta, Gilbert, 2009. "Clustering and disjoint principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3194-3208, June.
- Henk Kiers & Donatella Vicari & Maurizio Vichi, 2005. "Simultaneous classification and multidimensional scaling with external information," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 433-460, September.
- Bob Giddings & Bill Hopwood & Geoff O'Brien, 2002. "Environment, economy and society: fitting them together into sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 10(4), pages 187-196.
- Isabel Gallego-Álvarez & Mª Galindo-Villardón & Miguel Rodríguez-Rosa, 2015. "Analysis of the Sustainable Society Index Worldwide: A Study from the Biplot Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 29-65, January.
- Roberto Rocci & Stefano Gattone & Maurizio Vichi, 2011. "A New Dimension Reduction Method: Factor Discriminant K-means," Journal of Classification, Springer;The Classification Society, vol. 28(2), pages 210-226, July.
- Vichi, Maurizio & Kiers, Henk A. L., 2001. "Factorial k-means analysis for two-way data," Computational Statistics & Data Analysis, Elsevier, vol. 37(1), pages 49-64, July.
- Phillis, Yannis A. & Grigoroudis, Evangelos & Kouikoglou, Vassilis S., 2011. "Sustainability ranking and improvement of countries," Ecological Economics, Elsevier, vol. 70(3), pages 542-553, January.
- Geert Soete & Willem Heiser, 1993. "A latent class unfolding model for analyzing single stimulus preference ratings," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 545-565, December.
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Keywords
Sustainability assessment; Biplots; Sustainability indicators; Graphical sustainability ranking;All these keywords.
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