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Analytical estimation of map readability / Lars Harrie in ISPRS International journal of geo-information, vol 4 n°2 (June 2015)  

Public [article]  inISPRS International journal of geo-information > vol 4 n°2 (June 2015) . - pp 418 - 446 Titre : Analytical estimation of map readability Type de document : Article/Communication Auteurs : Lars Harrie, Auteur ; Hanna Stigmar, Auteur ; Milan Djordjevic, Auteur Année de publication : 2015 Article en page(s) : pp 418 - 446 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] apprentissage dirigé [Termes descripteurs IGN] distribution spatiale [Termes descripteurs IGN] généralisation cartographique automatisée [Termes descripteurs IGN] lisibilité perceptive [Termes descripteurs IGN] régression multiple [Termes descripteurs IGN] séparateur à vaste marge [Termes descripteurs IGN] seuillage [Termes descripteurs IGN] test de performance [Termes descripteurs IGN] utilisateur [Vedettes matières IGN] Cartologie Résumé : (auteur) Readability is a major issue with all maps. In this study, we evaluated whether we can predict map readability using analytical measures, both single measures and composites of measures. A user test was conducted regarding the perceived readability of a number of test map samples. Evaluations were then performed to determine how well single measures and composites of measures could describe the map readability. The evaluation of single measures showed that the amount of information was most important, followed by the spatial distribution of information. The measures of object complexity and graphical resolution were not useful for explaining the map readability of our test data. The evaluations of composites of measures included three methods: threshold evaluation, multiple linear regression and support vector machine. We found that the use of composites of measures was better for describing map readability than single measures, but we could not identify any major differences in the results of the three composite methods. The results of this study can be used to recommend readability measures for triggering and controlling the map generalization process of online maps. Numéro de notice : A2015-701 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://www.mdpi.com/2220-9964/4/2/418 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78343 [article]