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Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management
dc.contributor.author | Granell, Carlos | |
dc.contributor.author | Ostermann, Frank | |
dc.date.accessioned | 2016-09-13T13:08:24Z | |
dc.date.available | 2016-09-13T13:08:24Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | C. Granell, F. O. Ostermann. Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management. Computers, Environment and Urban Systems, 59: 231-243, 2016, ISSN 0198-9715. http://dx.doi.org/10.1016/j.compenvurbsys.2016.01.006 | ca_CA |
dc.identifier.issn | 0198-9715 | |
dc.identifier.uri | http://hdl.handle.net/10234/162470 | |
dc.description.abstract | This paper investigates research using VGI and geo-social media in the disaster management context. Relying on the method of systematic mapping, it develops a classification schema that captures three levels of main category, focus, and intended use, and analyzes the relationships with the employed data sources and analysis methods. It focuses the scope to the pioneering field of disaster management, but the described approach and the developed classification schema are easily adaptable to different application domains or future developments. The results show that a hypothesized consolidation of research, characterized through the building of canonical bodies of knowledge and advanced application cases with refined methodology, has not yet happened. The majority of the studies investigate the challenges and potential solutions of data handling, with fewer studies focusing on socio-technological issues or advanced applications. This trend is currently showing no sign of change, highlighting that VGI research is still very much technology-driven as opposed to theory- or application-driven. From the results of the systematic mapping study, the authors formulate and discuss several research objectives for future work, which could lead to a stronger, more theory-driven treatment of the topic VGI in GIScience. | ca_CA |
dc.description.sponsorShip | Carlos Granell has been partly funded by the Ramón y Cajal Programme (grant number RYC-2014-16913) | ca_CA |
dc.format.extent | 30 p. | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Elsevier | ca_CA |
dc.relation.isPartOf | Computers, Environment and Urban Systems 59 (2016) 231–243 | ca_CA |
dc.rights | © 2016 Elsevier Ltd. All rights reserved. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | VGI | ca_CA |
dc.subject | Crowdsourcing | ca_CA |
dc.subject | Geo-social media | ca_CA |
dc.subject | data analysis methods | ca_CA |
dc.subject | Disaster management | ca_CA |
dc.subject | Systematic mapping | ca_CA |
dc.title | Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1016/j.compenvurbsys.2016.01.006 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | http://www.sciencedirect.com/science/article/pii/S0198971516300060 | ca_CA |
dc.type.version | info:eu-repo/semantics/acceptedVersion |
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