European Handbook of Crowdsourced Geographic Information / / edited by Cristina Capineri [and six others].
"This book focuses on the study of the remarkable new source of geographic information that has become available in the form of user-generated content accessible over the Internet through mobile and Web applications. The exploitation, integration and application of these sources, termed volunte...
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Place / Publishing House: | London : : Ubiquity Press,, 2016. |
Year of Publication: | 2016 |
Language: | English |
Physical Description: | 1 online resource (viii, 464 pages) :; illustrations |
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245 | 0 | 0 | |a European Handbook of Crowdsourced Geographic Information / |c edited by Cristina Capineri [and six others]. |
264 | 1 | |a London : |b Ubiquity Press, |c 2016. | |
300 | |a 1 online resource (viii, 464 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on publisher supplied metadata and other sources. | ||
520 | |a "This book focuses on the study of the remarkable new source of geographic information that has become available in the form of user-generated content accessible over the Internet through mobile and Web applications. The exploitation, integration and application of these sources, termed volunteered geographic information (VGI) or crowdsourced geographic information (CGI), offer scientists an unprecedented opportunity to conduct research on a variety of topics at multiple scales and for diversified objectives. The Handbook is organized in five parts, addressing the fundamental questions: What motivates citizens to provide such information in the public domain, and what factors govern/predict its validity?What methods might be used to validate such information? Can VGI be framed within the larger domain of sensor networks, in which inert and static sensors are replaced or combined by intelligent and mobile humans equipped with sensing devices? What limitations are imposed on VGI by differential access to broadband Internet, mobile phones, and other communication technologies, and by concerns over privacy? How do VGI and crowdsourcing enable innovation applications to benefit human society? Chapters examine how crowdsourcing techniques and methods, and the VGI phenomenon, have motivated a multidisciplinary research community to identify both fields of applications and quality criteria depending on the use of VGI. Besides harvesting tools and storage of these data, research has paid remarkable attention to these information resources, in an age when information and participation is one of the most important drivers of development. The collection opens questions and points to new research directions in addition to the findings that each of the authors demonstrates. Despite rapid progress in VGI research, this Handbook also shows that there are technical, social, political and methodological challenges that require further studies and research." | ||
504 | |a Includes bibliographical references. | ||
505 | 0 | |a The nature of volunteered geographic information / Cristina Capineri -- Why is participation inequality important? / Mordechai (Muki) Haklay -- Social media geographic information : why social is special when it goes spatial? / Michele Campagna -- Handling quality in crowdsourced geographic information / Laura Criscuolo [and seven others] -- Data quality in crowdsourcing for biodiversity research : issues and examples / Clemens Jacobs -- Semantic challenges for volunteered geographic information / Andrea Ballatore -- Quality analysis of the Parisian OSM toponyms evolution / Vyron Antoniou, Guillaume Touya, and Ana-Maria Raimond -- Tackling the thematic accuracy of areal features in OpenStreetMap / Ahmed Loai Ali -- Enhancing the management of quality of VGI : contributions from context and task modelling / Benedicte Bucher, Gilles Falquet, Claudine Metral, and Rob Lemmens -- A methodological toolbox for exploring collections of textually annotated georeferenced photographs / Ross S. Purves and William A. Mackaness -- Gaining knowledge from georeferenced social media data with visual analytics / Gennady Andrienko and Natalia Andrienko -- Head/tail breaks for visualization of city structure and dynamics / Bin Jiang -- Querying VGI by semantic enrichment / Rob Lemmens, Gilles Falquet, Stefano De Sabbata, Bin Jiang, and Benedicte Bucher -- Extracting location information from crowd-sourced social network data / Pinar Karagoz, Hali Oguztuzun, Ruket Cakici, Ozer Ozdikis, Kezban Dilek Onal, and Meryem Sagcan -- Spatial and temporal sentiment analysis of Twitter data / Zhiwen Song and Jianhong (Cecilia) Xia -- Social networks VGI : Twitter sentiment analysis of social hotspots / Dario Stojanovski, Ivan Chorbev, Ivica Dimitrovski, and Gjorgji Madjarov -- Research on social media feeds : a GIScience perspective / Enrico Steiger, Rene Westerholt, and Alexander Zipf -- Changing role of citizens in national environmental monitoring / Juhani Kettunen, Jari Silander, Matti Lindholm, Maiju Lehtiniemi, Outi Setälä, and Seppo Kaitala et al -- On the contribution of volunteered geographic information to land monitoring efforts / Jamal Jokar Arsanjani and Cidália C Fonte -- Discussing the potential of crowdsourced geographic information for urban areas monitoring using the Panoramio initiative / Flavio Lupia and Jacinto Estima -- AtrapaelTigre.com : enlisting citizen-scientists in the war on tiger mosquitoes / Aitana Oltra, John R.B. Palmer, and Frederic Bartumeus -- Crowdsourcing geographic information for disaster management and improving urban resilience : an overview of recent developments and lessons learned / João Porto de Albuquerque, Melanie Eckle, Benjamin Herfort, and Alexander Zipf -- Crowdsourcing for individual needs : the case of routing and navigation for mobility-impaired persons / Alexander Zipf, Amin Mobasheri, Adam Rousell, and Stefan Hahmann -- Smart timetable service based on crowdsensed data / Károly Farkas -- Mobile crowd-sensing in the smart city / Imre Lendák -- Mobile crowd sensing for smart urban mobility / Dragan Stojanovic, Bratislav Predic, and Natalija Stojanovic -- Using mobile crowdsourcing and geotagged social media data to study people's affective responses to environments / Haosheng Huang and Georg Gartner -- Integrating authoritative and volunteered geographic information for spatial planning / Pierangelo Massa and Michele Campagna -- A proposed crowdsourcing cadastral model : taking advantage of previous experience and innovative techniques / Sofia Basiouka and Chryssy Potsiou -- Modelling the world in 3D from VGI/crowdsourced data / Hongchao Fan and Alexander Zipf. | |
650 | 0 | |a Geographic information systems. | |
650 | 0 | |a Crowdsourcing. | |
776 | |z 1-909188-82-4 | ||
700 | 1 | |a Capineri, Cristina, |e editor. | |
906 | |a BOOK | ||
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