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Digging into the history of VGI data-sets: results from a worldwide study on OpenStreetMap mapping activity / Simon Gröchenig in Journal of location-based services, vol 8 n° 3 ([01/11/2014])  

Public [article]  inJournal of location-based services > vol 8 n° 3 [01/11/2014] . - pp 198 - 210 Titre : Digging into the history of VGI data-sets: results from a worldwide study on OpenStreetMap mapping activity Type de document : Article/Communication Auteurs : Simon Gröchenig, Auteur ; Richard Brunauer, Auteur ; Karl Rehrl, Auteur Année de publication : 2014 Conférence : LBS 2014, 11th International Symposium on Location-Based Services 26/11/2014 28/11/2014 Vienne Autriche Proceedings Taylor&Francis Article en page(s) : pp 198 - 210 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] analyse spatio-temporelle [Termes IGN] données hétérogènes [Termes IGN] données localisées des bénévoles [Termes IGN] jeu de données localisées [Termes IGN] OpenStreetMap [Termes IGN] zone rurale Résumé : (auteur) Volunteered geographic information (VGI) data-sets are characterised by heterogeneity due to influences from technical, social, environmental or economic factors. As a result, mapping progress does neither follow a spatially nor a temporally equal distribution, and thus can be hardly measured or predicted. Positively stated, heterogeneity leads to interesting VGI data-sets revealing regional peculiarities such as diverse community activities. This work proposes an approach for identifying regionally and temporally different developments with respect to mapping progress. Regional mapping progress is measured with a modified version of a previously proposed model for classifying activity stages, which has been used as foundation for a massive spatial and temporal analysis of the worldwide OpenStreetMap contributions between the years 2006 and 2013. It also allows the evaluation of rural and unpopulated areas. Results reveal that regional mapping progress heavily depends on a number of distinct influences such as geographical or legal borders, data imports, unexpected events or diverse community developments. The work highlights regions with distinct results by revealing individual mapping stories. Numéro de notice : A2014-808 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article En ligne : https://doi.org/10.1080/17489725.2014.978403 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85082 [article]