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DOI: 10.4230/LIPIcs.GISCIENCE.2018.37

How Do Texture and Color Communicate Uncertainty in Climate Change Map Displays? (Short Paper)

Authors: Irene M. Johannsen, Sara Irina Fabrikant, and Mariele Evers

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract

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.

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Irene M. Johannsen, Sara Irina Fabrikant, and Mariele Evers. How Do Texture and Color Communicate Uncertainty in Climate Change Map Displays? (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 37:1-37:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{johannsen_et_al:LIPIcs.GISCIENCE.2018.37,
  author =	{Johannsen, Irene M. and Fabrikant, Sara Irina and Evers, Mariele},
  title =	{{How Do Texture and Color Communicate Uncertainty in Climate Change Map Displays?}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{37:1--37:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.37},
  URN =		{urn:nbn:de:0030-drops-93655},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.37},
  annote =	{Keywords: uncertainty visualization, empirical study, visual variables, climate change}
}

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How Do Texture and Color Communicate Uncertainty in Climate Change Map Displays? (Short Paper)

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