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An Exploratory Multivariate Statistical Analysis to Assess Urban Diversity

Author
Salazar-Llano, L.; Rosas-Casals, M.; Ortego, M.I.
Type of activity
Journal article
Journal
Sustainability
Date of publication
2019-07-11
Volume
11
Number
14
First page
3812-1
Last page
3812-27
DOI
10.3390/su11143812
Repository
http://hdl.handle.net/2117/166182 Open in new window
URL
https://www.mdpi.com/2071-1050/11/14/3812 Open in new window
Abstract
Understanding diversity in complex urban systems is fundamental in facing current and future sustainability challenges. In this article, we apply an exploratory multivariate statistical analysis (i.e., Principal Component Analysis (PCA) and Multiple Factor Analysis (MFA)) to an urban system’s abstraction of the city’s functioning. Specifically, we relate the environmental, economical, and social characters of the city in a multivariate system of indicators by collecting measurements of those...
Citation
Salazar-Llano, L.; Rosas-Casals, M.; Ortego, M.I. An Exploratory Multivariate Statistical Analysis to Assess Urban Diversity. "Sustainability", 11 Juliol 2019, vol. 11, núm. 14, p. 3812-1-3812-27.
Keywords
Barcelona, Biplot, Multiple Factor Analysis (MFA), Principal Component Analysis (PCA), Sustainability indicators, Urban diversity, Urban resilience, Urban sustainability
Group of research
COSDA-UPC - COmpositional and Spatial Data Analysis
SUMMLab - Sustainability Measurement and Modelin Lab

Participants

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