Animated Transitions in Statistical Data Graphics

By Jeffrey Heer, George G. Robertson. IEEE Transactions on Visualization and Computer Graphics, 2007

549 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/6a0d5f734223e6cb159c1bf4d56d47cfb0d1629a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

In Signal Processing

Citations in the corpus

Opportunities and Challenges for Data Physicalization (2015, unknown): “Previous work on animated visualizations examined how to turn abrupt visual changes into animated transitions [24].”
Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations (2009, background): “Researchers have found that animating between time slices facilitates value change estimation better than static transitions between views [11], but that animation results in significantly lower accuracy in analytic tasks compared to small multiples of static charts [19].”
Narrative Visualization: Telling Stories with Data (2010, background): “Similarly, animation design [14, 24] often relies on object constancy and de-emphasizes secondary details to keep viewers oriented; animators may also subdivide a transition into stages to facilitate apprehension.”
Visual comparison for information visualization (2011, methodology): “That is not to say that there are not other ways to approach comparison, for example by using analytic or statistical methods to make the comparisons and then potentially using more standard visual designs to portray these results.”
Empirical Studies in Information Visualization: Seven Scenarios (2012, unknown): “Heer and Robertson explored the use of animated transitions in linking common statistical data graphics [32].”
Effectiveness of Animation in Trend Visualization (2008, methodology): “Animation in visualization has been used to show changes of several kinds: 1) transitions of data from one state to another [15][14][10], 2) transitions between one view and another [4], 3) illustration of how something works [21], and 4) trends [8][12][13].”
D³ Data-Driven Documents (2011, background): “Visualizations can be greatly enhanced by interaction and animation [15].”
Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation (2008, methodology): “In accordance with the ﬁndings presented by Heer and Robertson [13], the actual transition is performed as a three-stage animation: extrusion into 3D, rotation, and projection into 2D.”
A Multi-Level Typology of Abstract Visualization Tasks (2013, background): “Pronounced changes in visual encoding such as these are often facilitated by smoothly animated transitions, which reduce their disruptive effects [22].”
LineUp: Visual Analysis of Multi-Attribute Rankings (2013, methodology): “LineUp supports users in keeping track of rank changes by using a combination of animated transitions [10] and color coding.”