2020
DOI: 10.3390/ijgi9040219
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The Effects of Length and Orientation on Numerical Representation in Flow Maps

Abstract: Flow maps are a common type of geographic information visualization in which lines that symbolize flow are typically varied in width to represent differences in the magnitude of the flow. An accurate perception of thickness is critical to numerical representation in flow maps. Previous studies have identified some of the factors, such as horizontal–vertical visual illusions and color size effects, that affect the perceived size of objects. However, the question of whether multiple visual variables that encode … Show more

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Cited by 3 publications
(2 citation statements)
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“…Graphical Perception studies are usually conducted using psychophysics techniques or specific visual tasks to test the accuracy of different visual encodings. 27,28 In both, the most common one is using comparison 29,30 via magnitude estimation and magnitude production. Magnitude estimation is a task in which people estimate the proportion of one element relative to another.…”
Section: Graphical Perceptionmentioning
confidence: 99%
“…Graphical Perception studies are usually conducted using psychophysics techniques or specific visual tasks to test the accuracy of different visual encodings. 27,28 In both, the most common one is using comparison 29,30 via magnitude estimation and magnitude production. Magnitude estimation is a task in which people estimate the proportion of one element relative to another.…”
Section: Graphical Perceptionmentioning
confidence: 99%
“…Such maps are significantly simplified in terms of their visual complexity, but it is not clear to what extent such an approach is favourable and preferred by users. User studies are a common approach to verifying the usability of and possible challenges with maps (e.g., [2][3][4]) and geovisualisations [5,6]. However, despite their frequent use, quantitative thematic maps have not been a common subject of extensive empirical research [7].…”
Section: Introductionmentioning
confidence: 99%