SpaceTree: supporting exploration in large node link tree, design evolution and empirical evaluation

By Catherine Plaisant, Jesse Grosjean, B. Bederson. IEEE Symposium on Information Visualization, 2002. INFOVIS 2002., 2002

406 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3816ccd8bd26db5d30adcc5b74607575d2966f50

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 Sociology and Political Science

Citations in the corpus

Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines (2010, methodology): “For non-numeric data items, we can still use several of the above symbolic metrics, including count, mode, and frequency distribution.”
TreeDyn: towards dynamic graphics and annotations for analyses of trees (2006, positive): “In order to handle an order of magnitude more nodes, one strategy is to not visualise the whole tree but instead to display a representative part of it as implemented in SpaceTree and TreeWiz [4,27].”
A visual analytics approach to understanding cycling behaviour (2012, neutral): “The drop initially deforms into a disk-like shape (this is a common feature for all breakup modes), followed by the formation of a thin liquid sheet at the periphery of the drop.”
TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility (2003, methodology): “While SpaceTree [Plaisant et al. 2002] and H3 [Munzner 1998; Munzner 2000] are able to display large trees, these systems are ill-suited for the task of comparison because they cannot guarantee that marked areas will be visible on the screen.”
A review of overview+detail, zooming, and focus+context interfaces (2009, background): “Again, their results varied across tasks, with Windows Explorer outperforming the others for tasks that benefited from multiple open branches (e.g. revisiting previously opened branches), and the SpaceTree performing well for certain types of topological overview tasks (e.g. viewing ancestors).”
The Word Tree, an Interactive Visual Concordance (2008, methodology): “In [ 6 ], Grosjean et al. emphasize that their users “rejected bluntly” unreadable type, and the authors of the paper created a new type of icon as an alternative to scaled-down text.”
Empirical Studies in Information Visualization: Seven Scenarios (2012, neutral): “number of node-finding and navigation tasks [62].”
A Multi-Level Typology of Abstract Visualization Tasks (2013, methodology): “SpaceTree [20] and TreeJuxtaposer [46] are two tree visualization tools that allow users to locate paths between nodes by means of different focus + context techniques.”
Ontology Engineering in a Networked World (2012, background): “In: Proceedings of the OntoLex 2006 workshop: interfacing ontologies and lexical resources for semantic web technologies, Genoa Buitelaar P, Cimiano P, Haase P, Sintek M (2009) Towards linguistically grounded ontologies.”
The InfoVis Toolkit (2004, methodology): “SpaceTree is an application for visualizing hierarchical data structures with traditional node-link diagrams.”
prefuse: a toolkit for interactive information visualization (2005, background): “Examples include TreeMaps [10,44], Cone Trees [42], Perspective Walls [34], StarField displays [1], Hyperbolic trees [30], DOITrees [13,22], SpaceTrees [39], and more.”
Animated Transitions in Statistical Data Graphics (2007, background): “SpaceTrees [18] and DOITrees [10] animate tree branches as they are expanded and collapsed.”
The challenge of information visualization evaluation (2004, methodology): “For example we compared three tree visualization tools: SpaceTree, Hyperbolic and Window Explorer [9].”