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Colour-enhanced star plot glyphs : can salient shape characteristics be overcome? / Alexander Klippel in Cartographica, vol 44 n° 3 (September 2009)  

Public [article]  inCartographica > vol 44 n° 3 (September 2009) . - pp 217 - 232 Titre : Colour-enhanced star plot glyphs : can salient shape characteristics be overcome? Type de document : Article/Communication Auteurs : Alexander Klippel, Auteur ; F. Hardisty, Auteur ; R. Li, Auteur ; C. Weaver, Auteur Année de publication : 2009 Article en page(s) : pp 217 - 232 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique [Termes IGN] analyse discriminante [Termes IGN] classification [Termes IGN] couleur (rédaction cartographique) [Termes IGN] lisibilité perceptive [Termes IGN] variable visuelle Résumé : (Auteur) This article reports two experiments addressing the question of how the shape characteristics of star plot glyphs influence classification tasks and whether additional graphic features such as colour can be used to counterbalance the effects of shape characteristics. In a previous study we found that salient shapes of star plot glyphs, such as "has one spike," influence the classification of the data represented by the glyphs. The shape differences in star plot glyphs are induced by assigning variables to rays in different ways. The first two experiments showed shape influences; we then conducted two follow-up studies to shed more light on the influence of shape. First, to address the question of how the classification of star plot glyphs would be affected if they were stripped of their meaning, participants were asked to group star plot glyphs as shapes. The second study colour-coded the rays of star plot glyphs to focus attention on differences in salient shapes; for example, the general shape characteristic "has one spike" cannot be applied so easily if each spike is a different colour. The results show that colour-enhancing star plot glyphs improves processing speed and reduces the influence of salient shape characteristics. Copyright University of Toronto Press Numéro de notice : A2009-411 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/carto.44.3.217 Date de publication en ligne : 02/10/2009 En ligne : https://doi.org/10.3138/carto.44.3.217 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30042 [article]

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031-09031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Star plots: how shape characteristics influence classification tasks / Alexander Klippel in Cartography and Geographic Information Science, vol 36 n° 2 (April 2009)  

Public [article]  inCartography and Geographic Information Science > vol 36 n° 2 (April 2009) . - pp 149 - 163 Titre : Star plots: how shape characteristics influence classification tasks Type de document : Article/Communication Auteurs : Alexander Klippel, Auteur ; F. Hardisty, Auteur ; C. Weaver, Auteur Année de publication : 2009 Article en page(s) : pp 149 - 163 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes IGN] analyse multivariée [Termes IGN] classification [Termes IGN] sémiologie graphique [Termes IGN] symbole graphique Résumé : (Auteur) Our research addresses the question of how to design interfaces for spatial analysis such that they support cognitive processes. In this paper, we specifically target the question of map symbol design for the analysis of multivariate data, which is a common problem in cartography and related fields. We focus on star plots and the largely unaddressed question of how to assign variables to rays in a star plot and which consequences specific shapes haveas the result of data characteristics and the assignment of variables to rayson interpretation and classification. We conducted an experiment with two conditions that were designed to shed light on the question: Does the shape of a star plot influence the interpretation (meaning) of the data it represents in a classification task? While previous research on multivariate point symbols has addressed this question for Chernoff faces, for example, few connections have been made to the shape of a star plot and its potential influence on meaning. We found that certain salient shape characteristics induced by variations along the horizontal and vertical axis increase the classification speed. However, we also found that salient shapes, such as has one spike, introduce a perceptual similarity that overrides the assumed similarities in the meaning of the represented data. Copyright CaGISociety Numéro de notice : A2009-164 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788188808 En ligne : https://doi.org/10.1559/152304009788188808 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29794 [article]

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032-09021	RAB	Revue	Centre de documentation	En réserve L003	Disponible