How to assess visual communication of uncertainty? a systematic review of geospatial uncertainty visualisation user studies
Citations
120 citations
117 citations
Cites background or result from "How to assess visual communication ..."
...Multiple researchers have called for a greater focus on realistic decision making in uncertainty visualization evaluation [38, 55, 54, 79]....
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...Our results confirm and extend recent recommendations made by others [38, 55, 54]....
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...Several recent papers comment on the challenges of designing a realistic uncertainty visualization evaluation while maintaining sufficient experimental control to test predictions [55, 79]....
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...summarize studies reported in 34 publications that describe an evaluation of how geospatial uncertainty visualizations communicate [55]....
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...Recently, scholars have pointed to the challenges evaluating uncertainty visualizations compared to evaluating other visualizations [38, 55, 79]....
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103 citations
100 citations
Cites background from "How to assess visual communication ..."
...Challenge: develop new approaches for visualizing the quality and certainty of geospatial big data In Kinkeldey, MacEachren, and Schiewe (2014), the authors reviewed decades of efforts to find a way to communicate data quality information on maps, and have concluded that the task to retrieve…...
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96 citations
References
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"How to assess visual communication ..." refers background in this paper
...Although these categories seem logical and match with conceptualisations of data used in geographic database research and development (Peuquet, 1994), their use may be limited for the majority of applications of uncertainty visualisation....
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562 citations
"How to assess visual communication ..." refers background or methods in this paper
...Much of the work has focused on developing typologies of uncertainty that represent various aspects of data and how it might be signified (Buttenfield and Weibel, 1988; Pang et al., 1997; Sanyal et al., 2009; Thomson et al., 2005) and on developing methods to depict uncertainty visually (e....
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...…focused on developing typologies of uncertainty that represent various aspects of data and how it might be signified (Buttenfield and Weibel, 1988; Pang et al., 1997; Sanyal et al., 2009; Thomson et al., 2005) and on developing methods to depict uncertainty visually (e.g. Cedilnik and Rheingans,…...
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540 citations
"How to assess visual communication ..." refers background in this paper
...A comprehensive review of uncertainty typologies is provided by MacEachren et al. (2005) and a review of uncertainty visualisation across science by Brodlie et al. (2012)....
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...In practice, it is hard to clearly distinguish between these categories: ‘[t]he categories of uncertainty are often interdependent, and the category boundaries are often hard to delineate’ (MacEachren et al., 2005, p. 156)....
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...Uncertainty categories When uncertainty of geospatial data is depicted, it can be quantified and represented for each of the three core information components: attribute (what), positional (where) and temporal (when) uncertainty (MacEachren et al., 2005)....
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...When uncertainty of geospatial data is depicted, it can be quantified and represented for each of the three core information components: attribute (what), positional (where) and temporal (when) uncertainty (MacEachren et al., 2005)....
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351 citations
"How to assess visual communication ..." refers background or result in this paper
...…November 2014 # The British Cartographic Society 2014 DOI: 10.1179/1743277414Y.0000000099 N coincident/adjacent This categorisation refers to view organisation, i.e. if data and uncertainty are represented in an integrated view (coincident) or in separate views (adjacent) (MacEachren, 1992)....
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...Coincident/adjacent Starting with the earliest research on uncertainty visualisation, coincident approaches (with data and uncertainty integrated in the existing display) have been contrasted with adjacent approaches with data and uncertainty in separate views (MacEachren, 1992)....
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...Another crucial aspect is the role of visual metaphors that have been used to depict uncertainty since the beginning of this field of research, e.g. fog or blur (MacEachren, 1992)....
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...Starting with the earliest research on uncertainty visualisation, coincident approaches (with data and uncertainty integrated in the existing display) have been contrasted with adjacent approaches with data and uncertainty in separate views (MacEachren, 1992)....
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...if data and uncertainty are represented in an integrated view (coincident) or in separate views (adjacent) (MacEachren, 1992)....
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