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New measures for analysis and comparison of shape distortion in world map projections / Melih Basaraner in Cartography and Geographic Information Science, vol 47 n° 6 (October 2020)  

Public [article]  inCartography and Geographic Information Science > vol 47 n° 6 (October 2020) . - pp 518 - 531 Titre : New measures for analysis and comparison of shape distortion in world map projections Type de document : Article/Communication Auteurs : Melih Basaraner, Auteur ; Sinan Cetinkaya, Auteur Année de publication : 2020 Article en page(s) : pp 518 - 531 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Projections [Termes IGN] déformation géométrique [Termes IGN] mappemonde [Termes IGN] projection Résumé : (auteur) World maps can have quite different depictions of reality depending on the projection adopted, and this can influence our perception of the world. In this respect, shape is a significant property that needs to be considered, especially when representing large regions in general-purpose world maps. A map projection distorts most geometric properties (area, distance, direction/angle, shape, and specific curves) and usually preserves a single property or provides a compromise between different properties when transforming terrestrial features from globe to plane. The distortions are mainly classified based on area, distance and direction/angle and analyzed with Tissot’s theorem. However, this theorem offers a local (pointwise) solution, so the distortion assessment is valid at infinitesimal scale (i.e. for very small regions). For this reason, different approaches are required to analyze the distortions at finite scale (i.e. for larger regions). However, there are very few attempts at analyzing and comparing shape distortion of landmasses in world map projections owing to the fact that shape measurement is difficult and usually involves measuring different characteristics. Seeking to fill this gap, in this study, compactness and elongation distortion measures are introduced. In this regard, 16 world map projections are analyzed and compared with these distortion measures in a GIS environment, based on map datasets of continents and countries. An analysis of the effect of the levels of detail of the datasets is also presented. Numéro de notice : A2020-606 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1567394 Date de publication en ligne : 04/02/2019 En ligne : https://doi.org/10.1080/15230406.2019.1567394 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95966 [article]

Characterisation of building alignments with new measures using C4.5 decision tree algorithm / Sinan Cetinkaya in Geodetski vestnik, vol 58 n° 3 ([01/09/2014])  

Public [article]  inGeodetski vestnik > vol 58 n° 3 [01/09/2014] . - pp 552 - 567 Titre : Characterisation of building alignments with new measures using C4.5 decision tree algorithm Type de document : Article/Communication Auteurs : Sinan Cetinkaya, Auteur ; Melih Basaraner, Auteur Année de publication : 2014 Article en page(s) : pp 552 - 567 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] alignement [Termes IGN] arbre de décision [Termes IGN] bati [Termes IGN] caractérisation [Termes IGN] classification dirigée [Termes IGN] généralisation cartographique automatisée [Termes IGN] régression [Termes IGN] triangulation de Delaunay Résumé : (auteur) Detection and characterisation of spatial patterns is crucial for cartographic generalisation since it entails preserving the patterns as much as possible within scale limits. Building alignments are commonly confronted patterns in the topographic maps/databases. They are perceptually recognised in accordance with relevant Gestalt factors, namely proximity, similarity, common orientation and continuity. This study is concentrated on how to characterise building alignments detected by automated or manual methods. To this end, new measures based on Delaunay triangulation and regression line/curve are established to correspond to the Gestalt factors. The relationship between the measures and Gestalt principles has been illustrated with a decision tree. An index value was computed by total sum of measures’ values to compare and order alignments from quality aspect. Additionally, a supervised classification was performed with C4.5 algorithm thus a decision tree was obtained to be able to both associate the quality categories with the measure values and automatically assign alignments into a quality class. The findings demonstrate that proposed measures are substantially effective for representing Gestalt factors. The proposed methods can potentially enhance and ease the characterisation of building alignments in topographic map generalization. Numéro de notice : A2014-560 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.15292/geodetski-vestnik.2014.03.552-567 En ligne : http://dx.doi.org/10.15292/geodetski-vestnik.2014.03.552-567 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74701 [article]

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