MoleView: An Attribute and Structure-Based Semantic Lens for Large Element-Based Plots

Hurter, Christophe; Ersoy, Ozan; Telea, Alexandru

doi:10.1109/tvcg.2011.223

Cited by 61 publications

(57 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other researchers have found benefits in animation for different domains such as tree visualization [2], common statistical graphs [20], and hierarchies [43]. These and other uses and studies of animation in information visualization (e.g., [16,14,23,22]) inspire and inform the animations available in our tool.…”

Section: Animationmentioning

confidence: 89%

See 1 more Smart Citation

Transmogrification

Brosz

Nacenta

Pusch

et al. 2013

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

View full text Add to dashboard Cite

A transmogrifier is a novel interface that enables quick, onthe-fly graphic transformations. A region of a graphic can be specified by a shape and transformed into a destination shape with real-time, visual feedback. Both origin and destination shapes can be circles, quadrilaterals or arbitrary shapes defined through touch. Transmogrifiers are flexible, fast and simple to create and invite use in casual InfoVis scenarios, opening the door to alternative ways of exploring and displaying existing visualizations (e.g., rectifying routes or rivers in maps), and enabling free-form prototyping of new visualizations (e

show abstract

Section: Animationmentioning

confidence: 89%

“…For example, magic lenses [4,22] present information from a different or processed layer of spatial data in situ, within the spatial context, and Histomages [12] enable 2D selection operations in the transformed color histogram space.…”

Section: Related Visualization and Cartographic Techniquesmentioning

confidence: 99%

Transmogrification

Brosz

Nacenta

Pusch

et al. 2013

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

View full text Add to dashboard Cite

show abstract

“…Introduced by Holten [28], virtually all bundling methods use this mechanism to control the bundling tightness; changing the interpolation interactively also allows one to visually link bundled to un-bundled elements and thus to see what a bundle contains. B can also be applied (or prevented) locally on P, based on the user's point of interest [34], with variants known as fisheye and bring & go techniques [38,64] and edge plucking [70]. Such techniques are refined in more recent papers [43,57].…”

Section: Q1 Functional Modelingmentioning

confidence: 99%

Functional Decomposition for Bundled Simplification of Trail Sets

Hurter

Puechmorel

Nicol

et al. 2018

IEEE Trans. Visual. Comput. Graphics

Self Cite

View full text Add to dashboard Cite

Abstract-Bundling visually aggregates curves to reduce clutter and help finding important patterns in trail-sets or graph drawings. We propose a new approach to bundling based on functional decomposition of the underling dataset. We recover the functional nature of the curves by representing them as linear combinations of piecewise-polynomial basis functions with associated expansion coefficients. Next, we express all curves in a given cluster in terms of a centroid curve and a complementary term, via a set of so-called principal component functions. Based on the above, we propose a two-fold contribution: First, we use cluster centroids to design a new bundling method for 2D and 3D curve-sets. Secondly, we deform the cluster centroids and generate new curves along them, which enables us to modify the underlying data in a statistically-controlled way via its simplified (bundled) view. We demonstrate our method by applications on real-world 2D and 3D datasets for graph bundling, trajectory analysis, and vector field and tensor field visualization.

show abstract

“…Graph splatting visualizes node-link diagrams as smooth scalar fields using color and/or height maps [59,32]. To explore crowded overlapping bundles, semantic lenses can be used [29]. Ambiguity-free bundling combines a semantic lens with a refinement step that reroutes and/or selectively bundles edges so that bundles avoid unrelated nodes [38].…”

Section: Bundled Edge Graph Visualizationmentioning

confidence: 99%

Bundled Visualization of DynamicGraph and Trail Data

Hurter

Ersoy

Fabrikant

et al. 2014

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Abstract-Depicting change captured by dynamic graphs and temporal paths, or trails, is hard. We present two techniques for simplified visualization of such datasets using edge bundles. The first technique uses an efficient image-based bundling method to create smoothly changing bundles from streaming graphs. The second technique adds edge-correspondence data atop of any static bundling algorithm, and is best suited for graph sequences. We show how these techniques can produce simplified visualizations of streaming and sequence graphs. Next, we show how several temporal attributes can be added atop of our dynamic graphs. We illustrate our techniques with datasets from aircraft monitoring, software engineering, and eye-tracking of static and dynamic scenes.

show abstract

MoleView: An Attribute and Structure-Based Semantic Lens for Large Element-Based Plots

Cited by 61 publications

References 26 publications

Transmogrification

Transmogrification

Functional Decomposition for Bundled Simplification of Trail Sets

Bundled Visualization of DynamicGraph and Trail Data

Contact Info

Product

Resources

About