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Auteur Victoria K. Turner |
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The socio-environmental data explorer (SEDE) : a social media–enhanced decision support system to explore risk perception to hazard events / Eric Shook in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)
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Titre : The socio-environmental data explorer (SEDE) : a social media–enhanced decision support system to explore risk perception to hazard events Type de document : Article/Communication Auteurs : Eric Shook, Auteur ; Victoria K. Turner, Auteur Année de publication : 2016 Article en page(s) : pp 427 - 441 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse de données
[Termes IGN] données environnementales
[Termes IGN] Etats-Unis
[Termes IGN] exploration de données
[Termes IGN] neige
[Termes IGN] outil d'aide à la décision
[Termes IGN] perception
[Termes IGN] réseau social
[Termes IGN] risque environnemental
[Termes IGN] risque technologique
[Termes IGN] tempête
[Termes IGN] temps réelRésumé : (Auteur) Social media are increasingly recognized as a useful data source for understanding social response to hazard events in real time and in post-event analysis. This article establishes social media–enhanced decision support systems (SME-DSS) as a synergistic integration of social media and decision support systems (DSSs) to provide structured access to native, near real-time data from a large and diverse population to assess social response to social, environmental, and technological risk and hazard events. We introduce a prototype SME-DSS entitled socio-environmental data explorer (SEDE) to explore the opportunities and challenges of leveraging social media for decision support. We use a winter storm during 25–28 January 2015 that accumulated record amounts of snow along the East Coast of the United States as a case study to evaluate SEDE in helping assess social response to environmental risk and hazard events as well as evaluate social media as a theoretical component within the social amplification of risk framework (SARF) that serves as a theoretical foundation for SME-DSS. Numéro de notice : A2016-693 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1131627 En ligne : https://doi.org/10.1080/15230406.2015.1131627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82030
in Cartography and Geographic Information Science > vol 43 n° 5 (November 2016) . - pp 427 - 441[article]Exemplaires(1)
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