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  • 标题:How Do Texture and Color Communicate Uncertainty in Climate Change Map Displays? (Short Paper)
  • 本地全文:下载
  • 作者:Irene M. Johannsen ; Sara Irina Fabrikant ; Mariele Evers
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2018
  • 卷号:114
  • 页码:1-6
  • DOI:10.4230/LIPIcs.GISCIENCE.2018.37
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We report on an empirical study with over hundred online participants where we investigated how texture and color value, two popular visual variables used to convey uncertainty in maps, are understood by non-domain-experts. Participants intuit denser dot textures to mean greater attribute certainty; irrespective of whether the dot pattern is labeled certain or uncertain. With this additional empirical evidence, we hope to further improve our understanding of how non-domain experts interpret uncertainty information depicted in map displays. This in turn will allow us to more clearly and legibly communicate uncertainty information in climate change maps, so that these displays can be unmistakably understood by decision-makers and the general public.
  • 关键词:uncertainty visualization; empirical study; visual variables; climate change
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