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A method for assessing generalized data accuracy with linear object resolution verification / Tadeusz Chrobak in Geocarto international, vol 32 n° 3 (March 2017)  

Public [article]  inGeocarto international > vol 32 n° 3 (March 2017) . - pp 238-256 Titre : A method for assessing generalized data accuracy with linear object resolution verification Type de document : Article/Communication Auteurs : Tadeusz Chrobak, Auteur ; Stanisław Szombara, Auteur ; Krystian Kozoł, Auteur ; Michal Lupa, Auteur Année de publication : 2017 Article en page(s) : pp 238-256 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] détection de conflit [Termes IGN] espace euclidien [Termes IGN] estimation de position [Termes IGN] généralisation automatique de données [Termes IGN] généralisation cartographique [Termes IGN] objet géographique linéaire [Termes IGN] précision cartographique [Termes IGN] simplification de contour [Vedettes matières IGN] Généralisation Résumé : (Auteur) The article is composed of two sections. In the first section, the authors describe the application of minimum line dimensions which are dependent on line shape, width and the operational scale of the map. The proposed solutions are based on the Euclidean metric space, for which the minimum dimensions of Saliszczew’s elementary triangle (Elementary triangle – is the term pertaining to model, standard triangle of least dimensions securing recognizability of a line. Its dimensions depend on scale of the map and width of the line representing it. The use of a triangle in the simplification process is as follows: triangles with sides (sections) on an arbitrary line and bases (completing the sides) are compared with lengths of the shorter side and the base of the elementary triangle.) were adapted. The second part of the article describes an application of minimum line dimensions for verifying and assessing generalized data. The authors also propose a method for determining drawing line resolution to evaluate the accuracy of algorithm simplification. Taking advantage of the proposed method, well-known simplification algorithms were compared on the basis of qualitative and quantitative evaluation. Moreover, corresponding with the methods of simplified data accuracy assessment the authors have extended these solutions with the rejected data. This procedure has allowed the identification of map areas where graphic conflicts occurred. Numéro de notice : A2017-270 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1133721 En ligne : https://doi.org/10.1080/10106049.2015.1133721 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85296 [article]