Show simple item record

dc.contributor.authorNavarro, Daniel
dc.contributor.authorVallejo, Ismael
dc.contributor.authorNavarro, Manuel
dc.date.accessioned2021-01-14T09:10:45Z
dc.date.available2021-01-14T09:10:45Z
dc.date.issued2020-07
dc.identifier.citationNavarro, Daniel, Ismael Vallejo, and Manuel Navarro. “Análisis de La Vulnerabilidad Social a Los Riesgos Naturales Mediante Técnicas Estadísticas Multivariantes.” Investigaciones Geográficas no. 74 (December 17, 2020): 29. doi:10.14198/ingeo2020.nvn.en
dc.identifier.issn0213-4691en
dc.identifier.urihttp://hdl.handle.net/11556/1051
dc.description.abstractThe combination of a human population and a potentially destructive agent does not necessarily produce a disaster. For disaster to become inevitable the population must be vulnerable. This study analyses social vulnerability to natural risks using multivariate statistical techniques, specifically, principal component analysis and k-means cluster analysis. The combination of these techniques avoids the need for a priori weighting of variables. This methodology has been applied as a case study in the city of Almería using a set of variables that influences the vulnerability of the population. Social vulnerability has been conceived holistically, encompassing its different dimensions, and avoiding an excessive simplification of the complexity of social reality. Therefore, it has been considered that there are multiple social, economic, and cultural factors that influence the appearance of a disaster. The results obtained have made it possible to identify the areas of greatest social vulnerability, highlighting that around 32 percent of the population is highly or very highly vulnerable. Finally, the proposed methodology has proven to be adequate for the study of social vulnerability and is also replicable in other areas of study and at different scales.en
dc.language.isospaen
dc.publisherInteruniversity Institute of Geography and University of Alicanteen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleAnalysis of social vulnerability to natural risk using multivariate statistical techniquesen
dc.title.alternativeAnálisis de la vulnerabilidad social a los riesgos naturales mediante técnicas estadísticas multivariantesen
dc.typearticleen
dc.identifier.doi10.14198/INGEO2020.NVNen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsSocial vulnerabilityen
dc.subject.keywordsNatural risken
dc.subject.keywordsMultivariate statistical techniqueen
dc.subject.keywordsPrincipal componentsen
dc.subject.keywordsk-meansen
dc.subject.keywordsAlmeriaen
dc.identifier.essn1989-9890en
dc.issue.number74en
dc.journal.titleInvestigaciones Geográficasen
dc.page.final49en
dc.page.initial29en


Files in this item

Thumbnail

    Show simple item record

    Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International