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Automated generation of schematic network maps adaptive to display sizes / Peng Ti in Cartographic journal (the), Vol 52 n° 2 (May 2015)  

Public [article]  inCartographic journal (the) > Vol 52 n° 2 (May 2015) . - pp 168 - 176 Titre : Automated generation of schematic network maps adaptive to display sizes Type de document : Article/Communication Auteurs : Peng Ti, Auteur ; Zhilin Li, Auteur ; Zhu Xu, Auteur Année de publication : 2015 Article en page(s) : pp 168 - 176 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse de données [Termes IGN] cartographie [Termes IGN] généralisation cartographique automatisée [Termes IGN] lisibilité perceptive [Termes IGN] représentation des données [Termes IGN] réseau de transport Résumé : (Auteur) Schematic maps have been popularly used for the representation of metro (or underground) lines and nowadays have also been used for the representation of other network maps. This paper presents a strategy for automated generation of schematic network maps for different display sizes, based on a redistribution of line density. This strategy consists of three steps: (a) estimation of spatial density of the network maps, (b) automated redistribution of line density in order to improve map clarity, for different display sizes, and (c) automated generation of schematic representations. An experimental evaluation has been carried out by using two sets of real-life network data. The results indicate that this strategy is able to generate schematic maps with much improved clarity for different display sizes and well-preserved map recognition. Numéro de notice : A2015-764 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2015.1119466 En ligne : http://dx.doi.org/10.1080/00087041.2015.1119466 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78802 [article]

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Adaptive generation of variable-scale network maps for small displays based on line density distribution / Zhilin Li in Geoinformatica, vol 19 n° 2 (April - June 2015)  

Public [article]  inGeoinformatica > vol 19 n° 2 (April - June 2015) . - pp 277 - 295 Titre : Adaptive generation of variable-scale network maps for small displays based on line density distribution Type de document : Article/Communication Auteurs : Zhilin Li, Auteur ; Peng Ti, Auteur Année de publication : 2015 Article en page(s) : pp 277 - 295 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse de données [Termes IGN] carte thématique [Termes IGN] densité [Termes IGN] échelle des données [Termes IGN] échelle variable [Termes IGN] généralisation cartographique automatisée [Termes IGN] lisibilité perceptive [Termes IGN] petit écran Résumé : (auteur) This paper presents an integrated strategy for adaptive generation of variable-scale network maps for different small displays. It is based on the line density distribution and comprised of three steps, i.e. (a) to estimate the line density by a grid-based method, (b) to adaptively generate variable-scale maps based on density distribution for given display sizes and (c) to improve the map readability by map generalization. The proposed strategy has been tested by using two real-life network datasets, with a statistical analysis and a perceptual evaluation. Experimental results show that this strategy is able to better exploit the limited map space so as to significantly improve map clarity and readability and at the same time to preserve map recognition ability compared to its original shape. Numéro de notice : A2015-489 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0212-8 Date de publication en ligne : 03/06/2014 En ligne : https://doi.org/10.1007/s10707-014-0212-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77282 [article]