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dc.contributor.authorOpach, Tomasz
dc.contributor.authorScherzer, Sabrina Stefanie Claudia
dc.contributor.authorLujala, Päivi
dc.contributor.authorRød, Jan Ketil
dc.identifier.citationNorsk Geografisk Tidsskrift. 2020, 74 (3), 181-199.en_US
dc.description.abstractThe aim of the study on which the article is based was to identify groups of communities with similar resilience profiles, using Norwegian municipalities as a case. The authors used a set of socioeconomic and environmental indicators as measures of municipalities’ resilience and performed a cluster analysis to divide the municipalities into groups with similar multivariate resilience signatures. The results revealed six groups of municipalities that, apart from their unique combinations of indicator scores, featured certain spatial patterns, such as an “urban cluster” with urbanized municipalities and a “suburban cluster” with municipalities concentrated around major cities. The authors conclude that municipalities in each of the groups shared aspects that made them either more or less resilient to natural hazards, which could make them potential targets for shared interventions. Additionally, the authors conclude that clustering can be used to identify municipalities with similar resilience features and that could benefit from networking and sharing operational planning as a way to improve their respective communities' resilience to natural hazards.en_US
dc.publisherTaylor & Francisen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.titleSeeking commonalities of community resilience to natural hazards: A cluster analysis approachen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.source.journalNorsk Geografisk Tidsskriften_US
dc.relation.projectNorges forskningsråd: 235490en_US
dc.description.localcode© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.en_US

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal