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  Cluster Analysis to Understand Socio-Ecological Systems: A Guideline

Janssen, P., Walther, C., Lüdeke, M. K. B. (2012): Cluster Analysis to Understand Socio-Ecological Systems: A Guideline, (PIK Report ; 126), Potsdam : Potsdam-Institut für Klimafolgenforschung, 90 p.

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_18070 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_18070_2
Genre: Report

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 Creators:
Janssen, Peter1, Author
Walther, Carsten2, Author              
Lüdeke, Matthias K. B.2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: In coupled human-environment systems where well established and proven general theories are often lacking cluster analysis provides the possibility to discover regularities – a first step in empirically based theory building. The aim of this report is to share the experiences and knowledge on cluster analysis we gained in several applications in this realm helping to avoid typical problems and pitfalls. In our description of issues and methods we will highlight well-known main-stream methods as well as promising new developments, referring to pertinent literature for further information, thus offering also some potential new insights for the more experienced. The following aspects are discussed in detail: data-selection and pre-treatment, selection of a distance measure in the data space, selection of clustering method, performing clustering (parameterizing the algorithm(s), determining the number of clusters etc.) and the interpretation and evaluation of results. We link our description – as far as tools for performing the analysis are concerned - to the R software environment and its associated cluster analysis packages. We have used this public domain software, together with own tailor-made extensions, documented in the appendix.

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Language(s): eng - English
 Dates: 2012-092012
 Publication Status: Finally published
 Pages: 90
 Publishing info: Potsdam : Potsdam-Institut für Klimafolgenforschung
 Table of Contents: -
 Rev. Method: -
 Identifiers: PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 5586
 Degree: -

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Title: PIK Report
Source Genre: Series
 Creator(s):
Gerstengarbe, Friedrich-Wilhelm1, Editor            
Affiliations:
1 Potsdam Institute for Climate Impact Research, ou_persistent13            
Publ. Info: Potsdam : Potsdam-Institut für Klimafolgenforschung
Pages: - Volume / Issue: 126 Sequence Number: - Start / End Page: - Identifier: ISSN: 1436-0179