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OpenStreetMap in GIScience : experiences, research, and applications |
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Titre de série : OpenStreetMap in GIScience : experiences, research, and applications Titre : Inferring the Scale of OpenStreetMap Features Type de document : Chapitre/Contribution Auteurs : Guillaume Touya Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : pp 81 - 99 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] cartographie collaborative
[Termes IGN] données localisées des bénévoles
[Termes IGN] généralisation
[Termes IGN] niveau de détail
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des donnéesIndex. décimale : 37.00 Géomatique - information géographique - infrastructure de données Résumé : (auteur) Traditionally, national mapping agencies produced datasets and map products for a low number of specified and internally consistent scales, i.e. at a common level of detail (LoD). With the advent of projects like OpenStreetMap, data users are increasingly confronted with the task of dealing with heterogeneously detailed and scaled geodata. Knowing the scale of geodata is very important for mapping processes such as for generalization of label placement or land-cover studies for instance. In the following chapter, we review and compare two concurrent approaches at automatically assigning scale to OSM objects. The first approach is based on a multi-criteria decision making model, with a rationalist approach for defining and parameterizing the respective criteria, yielding five broad LoD classes. The second approach attempts to identifiy a single metric from an analysis process, which is then used to interpolate a scale equivalence. Both approaches are combined and tested against well-known Corine data, resulting in an improvement of the scale inference process. The chapter closes with a presentation of the most pressing open problems. Numéro de notice : H2015-001 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-319-14280-7_5 Date de publication en ligne : 04/03/2015 En ligne : https://doi.org/10.1007/978-3-319-14280-7_5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79443
