2014
DOI: 10.14714/cp76.59
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Identification of partially occluded map symbols

Abstract: Maps should be legible at all scales, and the information density of a map should be adapted to fulfill this goal. However, there are situations in which overlapping symbols might not be easily avoided. These kinds of cluttered or over-plotted situations often occur today in geovisual analytics and in map mash-ups created using Web 2.0 technologies. In this research project, we examine via a user test the extent to which occluded symbols can still be identifiable. Specifically, we tested how different levels o… Show more

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Cited by 9 publications
(10 citation statements)
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“…In addition, the authors recommend using the Leaflet Cluster Markers plugin for large data sets (https://github.com/Leaflet/Leaflet.markercluster, accessed on 19 April 2023). Such a solution is user-friendly by reducing the number of objects and eliminating the occlusion effect [53].…”
Section: Resultsmentioning
confidence: 99%
“…In addition, the authors recommend using the Leaflet Cluster Markers plugin for large data sets (https://github.com/Leaflet/Leaflet.markercluster, accessed on 19 April 2023). Such a solution is user-friendly by reducing the number of objects and eliminating the occlusion effect [53].…”
Section: Resultsmentioning
confidence: 99%
“…Usually, video games employ symbols presented by pictography to inform users about the game. As Korpi et al (2013) note, such symbols can be interpreted correctly without prior learning or using the legend. Thus, the authors of the article decided to employ the set of 12 symbols (Fig.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…On the basis of multiple visual search studies Wolf and Horowitz (2004) classified visual attributes according to their ability to direct attention, including colour, size, orientation, and motion in the best, "undoubted" category. They included such variables as shape in the second best, "probable" category (Korpi et al 2013).…”
Section: Related Workmentioning
confidence: 99%
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“…The occlusion of visual items in 2D data visualization techniques is an old problem that has been observed in many studies presented in the literature [1][2][3]. The occlusion issue is generally exacerbated due to the visual space available to present the data and the amount of data to be displayed.…”
Section: Introductionmentioning
confidence: 99%