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Auteur Muki M. Haklay |
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Affiner la recherche Interroger des sources externesVol 53 n° 4 - November 2016 - The past, present and future of participatory GIS and public participation GIS (Bulletin de Cartographic journal (the)) / Bandana Kar
Titre : Vol 53 n° 4 - November 2016 - The past, present and future of participatory GIS and public participation GIS Type de document : Périodique Auteurs : Bandana Kar, Éditeur scientifique ; Renee Sieber, Éditeur scientifique ; Muki M. Haklay, Éditeur scientifique ; Rina Ghose, Éditeur scientifique Année de publication : 2016 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] données localisées des bénévoles
[Termes IGN] SIG participatifNuméro de notice : 030-201604 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique En ligne : http://www.tandfonline.com/toc/ycaj20/53/4?nav=tocList Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27837 [n° ou bulletin]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2016041 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : European handbook of crowdsourced geographic information Type de document : Monographie Auteurs : Cristina Capineri, Éditeur scientifique ; Muki M. Haklay, Éditeur scientifique ; Haosheng Huang, Éditeur scientifique ; Vyron Antoniou, Éditeur scientifique ; Juhani Kettunen, Éditeur scientifique ; Franck O. Ostermann, Éditeur scientifique ; Ross S. Purves, Éditeur scientifique Editeur : Londres : Ubiquity press Année de publication : 2016 Importance : 476 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-1-909188-80-8 Langues : Anglais (eng) Note de contenu : Chapter 1. Introduction
Part I: Theoretical and social aspects
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)
Part II: Quality: Criteria and methodologies
Chapter 5. Handling quality in crowdsourced geographic information (Laura Criscuolo, Paola Carrara, Gloria Bordogna, Monica Pepe, Francesco Zucca, Roberto Seppi, Alessandro Oggioni and Anna Rampini)
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)
Part III: Data analytics
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, Halit 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)
Part IV: VGI and crowdsourcing in environmental monitoring
Chapter 19. Changing role of citizens in the 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 risk management and improving urban resilience: an overview of the lessons learned (João Porto de Albuquerque, Melanie Eckle, Benjamin Herfort and Alexander Zipf)
Part V: VGI in mobility
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)
Part VI: VGI in spatial planning
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)
Glossary (Linda See, Cristina Capineri and Sofia Basiouka)Numéro de notice : 17356 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5334/bax En ligne : https://doi.org/10.5334/bax Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83781
- European handbook of crowdsourced geographic information, ch. 8. Quality analysis of the Parisian OSM toponyms evolution / Vyron Antoniou (2016)
- European handbook of crowdsourced geographic information, ch. 10. Enhancing the management of quality of VGI: contributions from context and task modelling / Bénédicte Bucher (2016)
- European handbook of crowdsourced geographic information, ch. 12. Gaining knowledge from georeferenced social media data with visual analytics / Gennady Andrienko (2016)
- European handbook of crowdsourced geographic information, ch. 14. Querying VGI by semantic enrichment / Robert Lemmens (2016)
Documents numériques
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European handbook of crowdsourced geographic informationAdobe Acrobat PDFAssessing data completeness of VGI through an automated matching procedure for linear data / T. Koukoletsos in Transactions in GIS, vol 16 n° 4 (August 2012)
Titre : Assessing data completeness of VGI through an automated matching procedure for linear data Type de document : Article/Communication Auteurs : T. Koukoletsos, Auteur ; Muki M. Haklay, Auteur ; Claire Ellul, Auteur Année de publication : 2012 Article en page(s) : pp 477 - 498 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse comparative
[Termes IGN] appariement automatique
[Termes IGN] contrainte géométrique
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] exhaustivité des données
[Termes IGN] Grande-Bretagne
[Termes IGN] objet géographique linéaire
[Termes IGN] OpenStreetMap
[Termes IGN] programmation par contraintesRésumé : (Auteur) New, free and fast growing spatial data sources have appeared online, based on Volunteered Geographic Information (VGI). OpenStreetMap (OSM) is one of the most representative projects of this trend. Its increasing popularity and density makes the study of its data quality an imperative. A common approach is to compare OSM with a reference dataset. In such cases, data matching is necessary for the comparison to be meaningful, and is usually performed manually at the data preparation stage. This article proposes an automated feature-based matching method specifically designed for VGI, based on a multi-stage approach that combines geometric and attribute constraints. It is applied to the OSM dataset using the official data from Ordnance Survey as the reference dataset. The results are then used to evaluate data completeness of OSM in several case studies in the UK. Numéro de notice : A2012-363 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01304.x Date de publication en ligne : 03/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01304.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31809
in Transactions in GIS > vol 16 n° 4 (August 2012) . - pp 477 - 498[article]
Titre : How many volunteers does it take to map an area well? The validity of Linus' law to volunteered geographic information Type de document : Article/Communication Auteurs : Muki M. Haklay, Auteur ; S. Basiouka, Auteur ; Vyron Antoniou, Auteur ; A. Ather, Auteur Année de publication : 2010 Article en page(s) : pp 315 - 322 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] OpenStreetMap
[Termes IGN] participation du public
[Termes IGN] précision du positionnement
[Termes IGN] production participative
[Termes IGN] qualité des données
[Termes IGN] redondance de donnéesRésumé : (Auteur) In the area of volunteered geographical information (VGI), the issue of spatial data quality is a clear challenge. The data that are contributed to VGI projects do not comply with standard spatial data quality assurance procedures, and the contributors operate without central coordination and strict data collection frameworks. However, similar to the area of open source software development, it is suggested that the data hold an intrinsic quality assurance measure through the analysis of the number of contributors who have worked on a given spatial unit. The assumption that as the number of contributors increases so does the quality is known as `Linus' Law' within the open source community. This paper describes three studies that were carried out to evaluate this hypothesis for VGI using the OpenStreetMap dataset, showing that this rule indeed applies in the case of positional accuracy. Numéro de notice : A2010-541 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870410X12911304958827 Date de publication en ligne : 18/07/2013 En ligne : https://doi.org/10.1179/000870410X12911304958827 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30733
in Cartographic journal (the) > vol 47 n° 4 (November 2010) . - pp 315 - 322[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2010041 RAB Revue Centre de documentation En réserve L003 Disponible Proceedings of the GIS Research UK, 18th annual conference, University College London, 14th - 16th April 2010 / Muki M. Haklay (2010)
Titre : Proceedings of the GIS Research UK, 18th annual conference, University College London, 14th - 16th April 2010 Type de document : Actes de congrès Auteurs : Muki M. Haklay, Éditeur scientifique ; Jeremy Morley, Éditeur scientifique ; Hanif Rahemtulla, Éditeur scientifique Editeur : Londres : University College London Année de publication : 2010 Conférence : GISRUK 2010, 18th GIS Research UK annual conference 14/04/2010 16/04/2010 Londres Royaume-Uni Open access proceedings Importance : 526 p. Format : 15 x 21 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données démographiques
[Termes IGN] données environnementales
[Termes IGN] données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] géomatique web
[Termes IGN] géovisualisation
[Termes IGN] infraction
[Termes IGN] interface homme-machine
[Termes IGN] Londres
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modélisation 3D
[Termes IGN] réseau de transport
[Termes IGN] santé
[Termes IGN] simulation 3D
[Termes IGN] système d'information géographiqueRésumé : (éditeur) This volume holds the papers from the 18th annual GIS Research UK (GISRUK). This year the conference, hosted at University College London (UCL), from Wednesday 14 to Friday 16 April 2010. The conference covered the areas of core geographic information science research as well as applications domains such as crime and health and technological developments in LBS and the geoweb. UCL’s research mission as a global university is based around a series of Grand Challenges that affect us all, and these were accommodated in GISRUK 2010. The overarching theme this year was “Global Challenges”, with specific focus on the following themes: * Crime and Place * Environmental Change * Intelligent Transport * Public Health and Epidemiology * Simulation and Modelling * London as a global city * The geoweb and neo-geography * Open GIS and Volunteered Geographic Information * Human-Computer Interaction and GIS Traditionally, GISRUK has provided a platform for early career researchers as well as those with a significant track record of achievement in the area. As such, the conference provides a welcome blend of innovative thinking and mature reflection. GISRUK is the premier academic GIS conference in the UK and we are keen to maintain its outstanding record of achievement in developing GIS in the UK and beyond. Numéro de notice : 19706 Affiliation des auteurs : non IGN Autre URL associée : http://discovery.ucl.ac.uk/19284/1/19284.pdf Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes En ligne : http://discovery.ucl.ac.uk/19284/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82732 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 19706-01 CG2010 Livre Centre de documentation Congrès Disponible Documents numériques
en open access
GISRUK 2010Adobe Acrobat PDF
