When Size Matters: Towards Evaluating Perceivability of Choropleths

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dc.contributor.authorMcNabb, Liamen_US
dc.contributor.authorLaramee, Robert S.en_US
dc.contributor.authorWilson, Maxen_US
dc.contributor.editor{Tam, Gary K. L. and Vidal, Francken_US
dc.date.accessioned2018-09-19T15:15:26Z
dc.date.available2018-09-19T15:15:26Z
dc.date.issued2018
dc.description.abstractChoropleth maps are an invaluable visualization type for mapping geo-spatial data. One advantage to a choropleth map over other geospatial visualizations such as cartograms is the familiarity of a non-distorted landmass. However, this causes challenges when an area becomes too small in order to accurately perceive the underlying color. When does size matter in a choropleth map? We conduct an experiment to verify the relationship between choropleth maps, their underlying color map, and a user's perceivability. We do this by testing a user's perception of color relative to an administrative area's size within a choropleth map, as well as user-preference of fixed-locale maps with enforced minimum areas. Based on this initial experiment we can make the first recommendations with respect to a unit area's minimum size in order to be perceivably useful.en_US
dc.description.sectionheadersVisualization III and VR
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20181221
dc.identifier.isbn978-3-03868-071-0
dc.identifier.pages163-171
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20181221
dc.identifier.urihttps://doi.org/10.2312/cgvc.20181221
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectUser studies
dc.subjectGeographic visualization
dc.subjectInformation visualization
dc.subjectComputing methodologies
dc.subjectVisibility
dc.subjectPerception
dc.titleWhen Size Matters: Towards Evaluating Perceivability of Choroplethsen_US
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