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Assessing the Variation of Visual Complexity in Multi-Scale Maps with Clutter Measures

Abstract : Mapping applications, where a multi-scale navigation is available, display multi-scale maps, i.e. a set of maps at different scales. Across scales, the map levels (Fig. 1) can present large differences in terms of representation, due to cartographic generalisation. In our research project [2], we assume that adding intermediate representations between existing map levels could be one way to reduce these differences and to enable smooth transitions while zooming. Inspired by the literature (§2.b), we believe that smooth zooming requires regular and small variations of map complexity across scales. In this paper, we present our experiments assessing clutter variation in existing multi-scale maps. This study seeks to identify if clutter variations may predict the perceived variation of visual complexity in multi-scale maps. After presenting some research works connected to our experiments (§2), the following sections address our research issues and study procedure (§3), then results analysis (§4). Lastly, we discuss the relevance of clutter measures for our project and presents our future work (§5).
Mots-clés : Généralisation
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Last modification on : Friday, November 26, 2021 - 5:10:02 PM
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Marion Dumont, Guillaume Touya, Cécile Duchêne. Assessing the Variation of Visual Complexity in Multi-Scale Maps with Clutter Measures. 19th ICA Workshop on Generalisation and Multiple Representation, Jun 2016, Helsinki, Finland. ⟨10.13140/RG.2.1.4775.3849⟩. ⟨hal-02095010⟩

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