European Handbook of Crowdsourced Geographic Information /

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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Bibliographic Details
TeilnehmendeR:
Capineri, Cristina,
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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Table of Contents:
  • 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.

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