Hyperbolic tree

Hyperbolic tree

Information Visualization

Published in Julie A. Jacko, The Human–Computer Interaction Handbook, 2012

Instead of altering the size of components, focus + context effects can also be achieved by changing the geometry of the spatial substrate itself. One example is the hyperbolic tree (Lamping and Rao 1994). A visualization such as a tree is laid out in hyperbolic space (which itself expands exponentially, just like the tree does), and then projected on to the Euclidean plane. The result is that the tree seems to expand around the focal nodes and to be compressed elsewhere. Selecting another node in the tree animates that portion to the focal area. Munzner (Munzner and Burchard 1995) has extended this notion to 3D hyperbolic trees and used them to visualize portions of the Internet.

Comparing Visual Encodings for the Task of Anomaly Detection

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Journal Information

Published in International Journal of Human–Computer Interaction, 2022

Meirav Taieb-Maimon, Eden Ya’akobi, Nevo Itzhak, Yossi Zaltsman

Profiler (Kandel et al., 2012) applies data mining methods to automatically flag problematic data and suggests coordinated summary visualizations to assess the data in context. A visualization tool provided by Mizoguchi (2000) uses a hyperbolic tree, in order to aid system administrators in error analysis. Dhambri et al. (2008) introduced a complementary automatic anomaly detection approach that employs user judgment when automatic decisions are difficult to make.

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Information Visualization

Comparing Visual Encodings for the Task of Anomaly Detection