Tree-maps: a space-filling approach to the visualization of hierarchical information structures

By Brian Johnson, Ben Shneiderman. 1991

How researchers see this paper

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

1. Shixia Liu
2. Mengchen Liu
3. Jun Zhu
4. Claudio Carpineto
5. Jiaxin Shi
6. Chongxuan Li
7. Giovanni Romano
8. Z. Li

Citations in the corpus

• Towards Better Analysis of Deep Convolutional Neural Networks (2016, methodology): “Based on the hierarchical clustering results, we compute the layout area for each sub-cluster using a Treemap layout algorithm [29].”
• Interactive metagenomic visualization in a Web browser (2011, background): “As in TreeMaps, nesting lower levels within higher ones makes efficient use of space.”
• Graph Visualization and Navigation in Information Visualization: A Survey (2000, background): “In fact, Garey and Johnson proved the problem to be NP-hard [53] and Eades and Whitesides proved the corresponding decision problem to be NPcomplete [36].”
• VLAT: Development of a Visualization Literacy Assessment Test (2017, methodology): “Note that we included an additional task for both Histogram and Treemap since we believed that identifying the characteristic of bins and identifying the hierarchical structure of the dataset were critical underlying tasks to read and interpret visually represented data from the visualizations respe”
• Focus+context display and navigation techniques for enhancing radial, space-filling hierarchy visualizations (2000, methodology): “Space-filling techniques such as the Treemap[5] [12] use more implicit containment and geometry features to present a hierarchy.”
• Squarified Treemaps (2000, methodology): “Treemaps [9, 6] were developed to remedy this problem.”
• A survey of Web clustering engines (2009, methodology): “Treemaps: A space-.lling approach to the visualization of hierar­chical information structures.”
• LifeFlow: visualizing an overview of event sequences (2011, background): “Space-filling techniques use implicit containment and geometry features to present a hierarchy [16, 19, 12, 6, 31].”
• Circos: an information aesthetic for comparative genomics. (2009, methodology): “Examples of this include the application of tree maps to show distribution of disk usage on a file system (Johnson and Shneiderman 1991) and hierarchical biological data (McConnell et al. 2002), directed graphs to depict networks, pathways, and phylogenetic information (Ciccarelli et al. 2006;…”
• Combating Attacks and Abuse in Large Online Communities (2016, methodology): “We also implemented other interfaces such as Treemaps [116], Sunbu rst [202] and Icicle [127].”
• Visual Representation: Implications for Decision Making (2007, background): “Treemaps (Johnson and Schneiderman 1991) overcome this problem by representing hierarchies through subdivided rectangles so that the tree fits a smaller (rectangular) space; this provides decision makers with overview as well as detailed information (Plaisant et al. 2003), which is likely to…”