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Measured and perceived visual complexity : a comparative study among three online map providers / Susan Schnur in Cartography and Geographic Information Science, Vol 45 n° 3 (May 2018)  

Public [article]  inCartography and Geographic Information Science > Vol 45 n° 3 (May 2018) . - pp 238 - 254 Titre : Measured and perceived visual complexity : a comparative study among three online map providers Type de document : Article/Communication Auteurs : Susan Schnur, Auteur ; Kenan Bektas, Auteur ; Arzu Çöltekin, Auteur Année de publication : 2018 Article en page(s) : pp 238 - 254 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] analyse comparative [Termes IGN] Bing Maps [Termes IGN] complexité de la carte [Termes IGN] généralisation cartographique automatisée [Termes IGN] Google Maps [Termes IGN] OpenStreetMap [Termes IGN] perception [Termes IGN] utilisateur Résumé : (Auteur) We present a study on human perception of map complexity, with the objective of better understanding design decisions that may lead to undesirable levels of complexity in web maps. We compare three complexity metrics to human ratings of complexity obtained through a user survey. Specifically, we use two algorithmic approaches published by others, which measure feature congestion (FC) and subband entropy (SE), as well as our own approach of counting object types rather than individual objects. We compare these metrics with each other as well as with human complexity ratings for three maps of the same area from map providers Google Maps, Bing Maps, and OpenStreetMap. Each map design is assessed at three different scales (levels of detail). We find that (1) the FC and SE metrics appear to be adequate predictors of what humans consider complex; (2) object-type counts are slightly less successful at predicting human-rated complexity, implying that clutter is more important in perceived complexity than diversity of symbology; and (3) generalization choices do impact human complexity ratings. These findings contribute to our understanding of what makes a map complex, with implications for designing maps that are easy to use. Numéro de notice : A2018-131 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2017.1323676 Date de publication en ligne : 06/06/2017 En ligne : https://doi.org/10.1080/15230406.2017.1323676 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89663 [article]

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