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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Ubiquity Press,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.