2016 |
Granell-Canut, Carlos; Ostermann, Frank O Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management Journal Article Computers, Environment and Urban Systems, pp. in press, 2016, ISSN: 0198-9715, (IF: 2.659 - 23/105 (Q1) Environmental Studies 2.659 - 13/79 (Q1) Geography ). Abstract | Links | BibTeX | Tags: crowdsourcing, data analysis methods, Disaster management, Geo-social media, RyC-Granell, Systematic mapping, VGI @article{GranellCanut2016a, title = {Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management}, author = { Carlos Granell-Canut and Frank O. Ostermann}, url = {http://dx.doi.org/10.1016/j.compenvurbsys.2016.01.006}, doi = {10.1016/j.compenvurbsys.2016.01.006}, issn = {0198-9715}, year = {2016}, date = {2016-01-01}, journal = {Computers, Environment and Urban Systems}, pages = {in press}, publisher = {Elsevier Ltd}, 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.}, note = {IF: 2.659 - 23/105 (Q1) Environmental Studies 2.659 - 13/79 (Q1) Geography }, keywords = {crowdsourcing, data analysis methods, Disaster management, Geo-social media, RyC-Granell, Systematic mapping, VGI}, pubstate = {published}, tppubtype = {article} } 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. |
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2016 |
Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management Journal Article Computers, Environment and Urban Systems, pp. in press, 2016, ISSN: 0198-9715, (IF: 2.659 - 23/105 (Q1) Environmental Studies 2.659 - 13/79 (Q1) Geography ). |