The Design Space of Implicit Hierarchy Visualization: A Survey

Schulz, Hans-Jörg; Hadlak, Steffen; Schumann, Heidrun

doi:10.1109/tvcg.2010.79

Cited by 142 publications

(97 citation statements)

References 53 publications

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“…Called composite visualization, this notion leads to the identification of five design patterns for merging two information visualization into a unique one. Schulz et al [36] explored more specifically the design of the "highly spaceefficient graphical representation" to visualize hierarchies. This design space mainly emphasizes design issues related to the dimensionality, node and edge representation and the layout and resulted in the generation of new visualization techniques.…”

Section: Information Visualization Design Spacesmentioning

confidence: 99%

A layered structure for a design space dedicated to rich interactive multimedia content

Celentano

Dubois

2016

Multimed Tools Appl

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In this paper we propose and discuss a layered organization for a design space suitable for the visualization of and interaction with rich information environments, made of multimedia and multidimensional information, supporting multi-device deployment. We propose to associate each design space layer to a different category of information, corresponding to different user goals and exploration spaces. Extending the focus+context and overview+detail approaches typical of complex information visualization, the layered design space and the associated information categories cover a wide range from a global universe of discourse down into the ultimate data items, through discrete intermediate steps corresponding to refinements of details and of navigation functions. Each category defines an association with a specific knowledge goal, the deployment on a suitable class of devices and the access through adequate interaction techniques. Such design process is applied to two case studies, one in the domain of cultural heritage fruition, the other in energy consumption management.

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Section: Information Visualization Design Spacesmentioning

confidence: 99%

A layered structure for a design space dedicated to rich interactive multimedia content

Celentano

Dubois

2016

Multimed Tools Appl

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“…For exploring and modifying the results of the clustering, we adapt a radial tree which is a popular technique for representing hierarchical data (see Schultz et al [36] for an overview). The radial tree is a common node-link tree layout with a transformation to polar coordinates.…”

Section: Composite Radial Treementioning

confidence: 99%

<italic>Cupid</italic>: Cluster-Based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees

Beham

Herzner

Gröller

et al. 2014

IEEE Trans. Visual. Comput. Graphics

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Abstract-Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted geometric shapes. In this paper, we propose a novel visual exploration approach that combines the abstract parameter space of the geometry generator with the resulting 3D shapes in a composite visualization. Similar geometric shapes are first grouped using hierarchical clustering and then nested within an illustrative parallel coordinates visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid parameter settings. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts.

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“…Generally, tree visualizations can be categorized according to edge representation, alignment, and dimensionality [17]. That is, explicit representations clearly show connectivity using edges [18], [19] while implicit ones focus on data hierarchy [20]. The layout could be radial [18], [19], [21] or axis-parallel [22], [23]; the former places the root at the center and grows children nodes outward, whereas the latter maps tree levels parallel to one axis and span the structure to another.…”

Section: Related Workmentioning

confidence: 99%

Chess Evolution Visualization

Wang

Lin

2014

IEEE Trans. Visual. Comput. Graphics

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Abstract-We present a chess visualization to convey the changes in a game over successive generations. It contains a score chart, an evolution graph and a chess board, such that users can understand a game from global to local viewpoints. Unlike current graphical chess tools, which focus only on highlighting pieces that are under attack and require sequential investigation, our visualization shows potential outcomes after a piece is moved and indicates how much tactical advantage the player can have over the opponent. Users can first glance at the score chart to roughly obtain the growth and decline of advantages from both sides, and then examine the position relations and the piece placements, to know how the pieces are controlled and how the strategy works. To achieve this visualization, we compute the decision tree using artificial intelligence to analyze a game, in which each node represents a chess position and each edge connects two positions that are one-move different. We then merge nodes representing the same chess position, and shorten branches where nodes on them contain only two neighbors, in order to achieve readability. During the graph rendering, the nodes containing events such as draws, effective checks and checkmates, are highlighted because they show how a game is ended. As a result, our visualization helps players understand a chess game so that they can efficiently learn strategies and tactics. The presented results, evaluations, and the conducted user studies demonstrate the feasibility of our visualization design.

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The Design Space of Implicit Hierarchy Visualization: A Survey

Cited by 142 publications

References 53 publications

A layered structure for a design space dedicated to rich interactive multimedia content

A layered structure for a design space dedicated to rich interactive multimedia content

<italic>Cupid</italic>: Cluster-Based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees

Chess Evolution Visualization

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