European handbook of crowdsourced geographic information

"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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Detalles Bibliográficos
Autor Corporativo:	European Cooperation in the Field of Scientific and Technical Research (Organization), sponsor (sponsor)
Otros Autores:	Capineri, Cristina, editor (editor), Haklay, Mordechai, editor, Huang, Haosheng, 1983-, editor, Antoniou, Vyron, editor, Kettunen, Juhani, editor, Ostermann, Frank (Frank O.), editor, Purves, Ross, 1970-, editor
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	London : Ubiquity Press 2016.
Colección:	Open Access e-Books Knowledge Unlatched
Materias:	Geographic information systems. Human computation. User-generated content.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009419808506719

Tabla de Contenidos:

Chapter 1. Introduction
Chapter 2. The nature of volunteered geographic information / Cristina Capineri
Chapter 3. Why is participation inequality important? / Mordechai (Muki) Haklay
Chapter 4. Social media geographic information : why social is special when it goes spatial? / Michele Campagna
Chapter 5. Handling quality in crowdsourced geographic information / Laura Criscuolo [and seven others]
Chapter 6. Data quality in crowdsourcing for biodiversity research : issues and examples / Clemens Jacobs
Chapter 7. Semantic challenges for volunteered geographic information / Andrea Ballatore
Chapter 8. Quality analysis of the Parisian OSM toponyms evolution / Vyron Antoniou, Guillaume Touya and Ana-Maria Raimond
Chapter 9. Tackling the thematic accuracy of areal features in OpenStreetMap / Ahmed Loai Ali
Chapter 10. Enhancing the management of quality of VGI : contributions from context and task modelling / Benedicte Bucher, Gilles Falquet, Claudine Metral and Rob Lemmens
Chapter 11. A methodological toolbox for exploring collections of textually annotated georeferenced photographs / Ross S. Purves and William A. Mackaness
Chapter 12. Gaining knowledge from georeferenced social media data with visual analytics / Gennady Andrienko and Natalia Andrienko
Chapter 13. Head/tail breaks for visualization of city structure and dynamics / Bin Jiang
Chapter 14. Querying VGI by semantic enrichment / Rob Lemmens, Gilles Falquet, Stefano De Sabbata, Bin Jiang and Benedicte Bucher
Chapter 15. Extracting location information from crowd-sourced social network data / Pinar Karagoz, Hali Oguztuzun, Ruket Cakici, Ozer Ozdikis, Kezban Dilek Onal and Meryem Sagcan
Chapter 16. Spatial and temporal sentiment analysis of Twitter data / Zhiwen Song and Jianhong (Cecilia) Xia
Chapter 17. Social networks VGI : Twitter sentiment analysis of social hotspots / Dario Stojanovski, Ivan Chorbev, Ivica Dimitrovski and Gjorgji Madjarov
Chapter 18. Research on social media feeds : a GIScience perspective / Enrico Steiger, Rene Westerholt and Alexander Zipf
Chapter 19. Changing role of citizens in national environmental monitoring / Juhani Kettunen, Jari Silander, Matti Lindholm, Maiju Lehtiniemi, Outi Setälä and Seppo Kaitala
Chapter 20. On the contribution of volunteered geographic information to land monitoring efforts / Jamal Jokar Arsanjani and Cidália C Fonte
Chapter 21. Discussing the potential of crowdsourced geographic information for urban areas monitoring using the Panoramio initiative / Flavio Lupia and Jacinto Estima
Chapter 22. AtrapaelTigre.com : enlisting citizen-scientists in the war on tiger mosquitoes / Aitana Oltra, John R.B. Palmer and Frederic Bartumeus
Chapter 23. 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
Chapter 24. Crowdsourcing for individual needs : the case of routing and navigation for mobility-impaired persons / Alexander Zipf, Amin Mobasheri, Adam Rousell and Stefan Hahmann
Chapter 25. Smart timetable service based on crowdsensed data / Károly Farkas
Chapter 26. Mobile crowd-sensing in the smart city / Imre Lendák
Chapter 27. Mobile crowd sensing for smart urban mobility / Dragan Stojanovic, Bratislav Predic and Natalija Stojanovic
Chapter 28. Using mobile crowdsourcing and geotagged social media data to study people's affective responses to environments / Haosheng Huang and Georg Gartner
Chapter 29. Integrating authoritative and volunteered geographic information for spatial planning / Pierangelo Massa and Michele Campagna
Chapter 30. A proposed crowdsourcing cadastral model : taking advantage of previous experience and innovative techniques / Sofia Basiouka and Chryssy Potsiou
Chapter 31. Modelling the world in 3D from VGI/crowdsourced data / Hongchao Fan and Alexander Zipf.

European handbook of crowdsourced geographic information

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