Assessing different approaches to visualise spatial and attribute uncertainty in socioeconomic data using the hexagonal or rhombus (HoR) trustree

Kardos, Julian; Benwell, George L.; Moore, Antoni

doi:10.1016/j.compenvurbsys.2005.07.007

Cited by 8 publications

(10 citation statements)

References 27 publications

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“…Similar to the work we present here, a number of studies by Kardos and colleagues evaluate a technique called 'trustree' that depicts uncertainty in census maps by varying the level of detail locally (Kardos et al 2007;Kardos et al 2008). They found that the visual metaphor of 'detail', i.e., a coarser grid in uncertain areas is more usable than a metaphor of 'clutter' that represents uncertain areas with a finer grid.…”

Section: Related Worksupporting

confidence: 49%

Evaluation of noise annotation lines: using noise to represent thematic uncertainty in maps

Kinkeldey

Mason

Klippel

et al. 2014

Cartography and Geographic Information Science

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Noise annotation lines are a promising technique to visualize thematic uncertainty in maps. However, their potential has not yet been evaluated in user studies. In two experiments we assessed the usability of this technique with respect to a different number of uncertainty levels as well as the influence of two design aspects of noise annotation lines: the grain and the width of the noise grid. We conducted a web-based study utilizing a qualitative comparison of two areas in 150 different maps. We recruited participants from Amazon Mechanical Turk with the majority being nonexperts with respect to the use of maps.Our findings suggest that for qualitative comparisons of 'constant uncertainty' (i.e., constant uncertainty per area) in thematic maps, noise annotation lines can be used for up to 6 uncertainty levels. During comparison of 4, 6, and 8 levels, the different designs of the technique yielded significantly different accuracies. We propose to use the 'large noise width, coarse grain' design that was most successful. For 'mixed uncertainty' (i.e., uncertainty is not constant per area) we observed a significant decrease in accuracy, but for 4 levels the technique can still be recommended.This article is a follow-up to our conference paper reporting on preliminary results of the first of the two experiments (Kinkeldey et al. 2013).

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Section: Related Worksupporting

confidence: 49%

Evaluation of noise annotation lines: using noise to represent thematic uncertainty in maps

Kinkeldey

Mason

Klippel

et al. 2014

Cartography and Geographic Information Science

View full text Add to dashboard Cite

show abstract

“…While most studies assess coincident approaches, there are a number of studies that involve a direct comparison between adjacent and coincident views (Aerts et al, 2003;Edwards and Nelson, 2001;Evans, 1997;Gerharz and Pebesma, 2009;Kardos, 2003;Kardos, 2007;Kubíček and Šašinka, 2011;Kunz et al, 2011;MacEachren et al, 1998;Retchless, 2012;Senaratne et al, 2012;Viard et al, 2011).…”

Section: Coincident/adjacentmentioning

confidence: 99%

“…As the display typically can become complex when uncertainty is added to data depictions, there have also been numerous attempts to utilize dynamic views. Some of these use non-interactive animation (Aerts et al, 2003;Blenkinsop et al, 2000;Evans, 1997;Kardos et al, 2003;Kardos et al, 2007;Zhang et al, 2008) and some incorporate interactive interfaces (Alberti, 2013;Blenkinsop et al, 2000;Evans, 1997;Gerharz and Pebesma, 2009;Slocum et al, 2003;Senaratne et al, 2012).…”

Section: Static/dynamicmentioning

confidence: 99%

“…when additional graphical objects are used to represent uncertainty, typically approaches using glyphs or error bars (Alberti, 2013;Drecki, 2002;Sanyal et al, 2009;Slocum et al, 2003), grid-based techniques (Kardos et al, 2007;Kinkeldey et al, 2014) or contouring (Senaratne et al, 2012).…”

Section: Intrinsic/extrinsicmentioning

confidence: 99%

“…They point out that noise annotation lines can be a viable alternative to intrinsic methods, especially with complex map content. Another grid-based approach is the 'trustree' technique developed by Kardos et al (2007) that varies the level of detail of a tree-structured grid to represent uncertainty. Since the evaluation did not include measurement of user performance, findings are limited to subjective measurement (see subsection on user preference).…”

Section: Intrinsic/extrinsicmentioning

confidence: 99%

See 2 more Smart Citations

How to Assess Visual Communication of Uncertainty? A Systematic Review of Geospatial Uncertainty Visualisation User Studies

Kinkeldey

MacEachren

Schiewe

2014

The Cartographic Journal

154

115

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For decades, uncertainty visualisation has attracted attention in disciplines such as cartography and geographic visualisation, scientific visualisation and information visualisation. Most of this research deals with the development of new approaches to depict uncertainty visually; only a small part is concerned with empirical evaluation of such techniques. This systematic review aims to summarize past user studies and describe their characteristics and findings, focusing on the field of geographic visualisation and cartography and thus on displays containing geospatial uncertainty. From a discussion of the main findings, we derive lessons learned and recommendations for future evaluation in the field of uncertainty visualisation. We highlight the importance of user tasks for successful solutions and recommend moving towards task-centered typologies to support systematic evaluation in the field of uncertainty visualisation.

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Exploring Tessellation Metaphors in the Display of Geographical Uncertainty

Kardos¹,

Moore²,

Benwell

Lecture Notes in Geoinformation and Cartography

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This paper explores in detail a new and effective metaphor for visualising choropleth map uncertainty. The "level-of-detail" metaphor has been shown here to communicate attribute uncertainty, but also spatial uncertainty as a secondary expression. The metaphor is delivered to the map viewer via the regular tessellated output of the Hexagonal or Rhombus (HoR) quadtree spatial data structure, as a semi-transparent map layer that lies on top of the choropleth (termed the trustree when used in this manner). For testing, multiple images were created with differing resolution levels of output from the trustree and superimposed on a New Zealand 2001 census choropleth map of Dunedin City. An Internet survey was designed and run,

show abstract

Assessing different approaches to visualise spatial and attribute uncertainty in socioeconomic data using the hexagonal or rhombus (HoR) trustree

Cited by 8 publications

References 27 publications

Evaluation of noise annotation lines: using noise to represent thematic uncertainty in maps

Evaluation of noise annotation lines: using noise to represent thematic uncertainty in maps

How to Assess Visual Communication of Uncertainty? A Systematic Review of Geospatial Uncertainty Visualisation User Studies

Exploring Tessellation Metaphors in the Display of Geographical Uncertainty

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