When Size Matters: Towards Evaluating Perceivability of Choropleths
| DOI: | 10.2312/cgvc.20181221 |
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| Přístupová URL adresa: | https://explore.openaire.eu/search/publication?articleId=doi_________::eef7defbbcce824383e3bab64c8a72fa |
| Přírůstkové číslo: | edsair.doi...........eef7defbbcce824383e3bab64c8a72fa |
| Autor: | McNabb, Liam, Laramee, Robert S., Wilson, Max |
| Rok vydání: | 2018 |
| Předmět: | |
| DOI: | 10.2312/cgvc.20181221 |
| Popis: | Choropleth 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. Computer Graphics and Visual Computing (CGVC) Visualization III and VR 163 171 Liam McNabb, Robert S. Laramee, and Max Wilson CCS Concepts: Human-centered computing --> User studies; Geographic visualization; Information visualization; Computing methodologies --> Visibility; Perception |
| Databáze: | OpenAIRE |
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