当前位置： SCI文献检索 > JOURNAL OF ENVIRONMENTAL MANAGEMENT期刊下所有文献 > Correlations and complementarities in data and methods through Principal Components Analysis (PCA) applied to the results of the SPIn-Eco Project.

Correlations and complementarities in data and methods through Principal Components Analysis (PCA) applied to the results of the SPIn-Eco Project.

Abstract：

:This paper demonstrates how the results from different methods can be interpreted on the basis of a statistical approach that can help find new hints in the evaluation of sustainability at the territorial level. The SPIn-Eco Project for the Province of Siena (Italy) is an example of an environmental sustainability assessment of an area using methods that are suitable for a large system: Ecological Footprint, Greenhouse Gas Inventory, Extended Exergy Analysis, Emergy Evaluation, and Remote Sensing. The calculation of many indicators, derived from these methods, has prompted us to use a statistical method (Principal Components Analysis, PCA) to understand the degree of similarity/congruence of the indicators (here we have examined 26 of them) and the possibility of recognizing patterns or clusters in the description of the 36 municipalities that compose the Province of Siena. Among the results, unexpectedly, emergy flow and the Ecological Footprint resulted as being completely uncorrelated, apparently due to the importance that the non-renewable part of the emergy holds in the evaluation. The municipalities of the province are considerably spread out over the graphs, even though that of Siena is quite far from the rest along the first dimension. In addition, we were able to distinguish between more homogeneous districts (sets of municipalities), such as Val di Merse and Val d'Orcia, and very diverse ones, such as Val d'Elsa and Val di Chiana.

journal_name

J Environ Manage

journal_title

Journal of environmental management

authors

Bastianoni S,Pulselli FM,Focardi S,Tiezzi EB,Gramatica P

doi

10.1016/j.jenvman.2006.04.018

subject

Has Abstract

pub_date

2008-01-01 00:00:00

pages

419-26

issue

2

eissn

0301-4797

issn

1095-8630

pii

S0301-4797(06)00239-8

journal_volume

86

pub_type

杂志文章

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