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Using geometric and semantic attributes for semi-automated tag identification in OpenStreetMap data / Müslüm Hacar (2021)  

Public Titre : Using geometric and semantic attributes for semi-automated tag identification in OpenStreetMap data Type de document : Article/Communication Auteurs : Müslüm Hacar, Auteur Editeur : Cardiff [Royaume-Uni] : Cardiff University Année de publication : 2021 Conférence : GISRUK 2021, 29th GIS research UK annual conference 14/04/2021 16/04/2021 Cardiff online Royaume-Uni OA Proceedings Importance : 6 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] Ankara (Turquie) [Termes IGN] attribut géomètrique [Termes IGN] attribut sémantique [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] loisir [Termes IGN] OpenStreetMap [Termes IGN] traitement de données localisées Résumé : (auteur) OpenStreetMap is one of the successful volunteered geographic al information projects. Participants contribute to this crowdsourced project by adding geometric and semantic data. However, both missing geometric and semantic data still cause complete ness problems. In this paper, a semi-automated approach is suggested to identify the values of leisure tag of polygon features. The approach uses geometric (rectangularity, density, area, and distances to bus stop and shop) and semantic (amenity) data and estimates the key values using random forest classifier. In short, the results show that tag identification was conducted in three districts of Ankara with f - score s 78%, 86%, and 87%. Numéro de notice : C2021-082 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication DOI : 10.5281/zenodo.4665518 Date de publication en ligne : 06/04/2021 En ligne : https://doi.org/10.5281/zenodo.4665518 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101043

Comparison of two methods for multiresolution terrain modelling in GIS / Turkay Gokgoz in Geocarto international, vol 35 n° 12 ([01/09/2020])  

Public [article]  inGeocarto international > vol 35 n° 12 [01/09/2020] . - pp 1360 - 1372 Titre : Comparison of two methods for multiresolution terrain modelling in GIS Type de document : Article/Communication Auteurs : Turkay Gokgoz, Auteur ; Müslüm Hacar, Auteur Année de publication : 2020 Article en page(s) : pp 1360 - 1372 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse comparative [Termes IGN] analyse multirésolution [Termes IGN] modèle numérique de surface [Termes IGN] point remarquable [Termes IGN] système d'information géographique [Termes IGN] Triangulated Irregular Network [Termes IGN] triangulation de Delaunay Résumé : (auteur) Very important points (VIPs) and important points and edges (IPEs) methods have been compared in accordance with the TINs obtained by: (1) Delaunay triangulation using DEM points determined by VIP and (2) constrained Delaunay triangulation using DEM points and triangle edges determined by IPE. It was ensured that the number of points in each TIN was approximately equal to the number calculated by Töpfer’s formula, and that the vertical error of each TIN was less than the error calculated by Koppe’s formula. According to the results, (1) both methods are quality prioritized, (2) IPE is more sensitive to local surface changes, (3) important triangle edges determined by IPE make a significant contribution to the TIN, (4) some of the points selected by IPE are more important points than that of VIP, and (5) IPE-based TINs are more structural fidelity than VIP-based TINs. Numéro de notice : A2020-485 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1573929 Date de publication en ligne : 27/02/2019 En ligne : https://doi.org/10.1080/10106049.2019.1573929 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95652 [article]