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Proceedings Paper

Weighted maps: treemap visualization of geolocated quantitative data
Author(s): Mohammad Ghoniem; Maël Cornil; Bertjan Broeksema; Mickaël Stefas; Benoît Otjacques
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Paper Abstract

A wealth of census data relative to hierarchical administrative subdivisions are now available. It is therefore desirable for hierarchical data visualization techniques, to offer a spatially consistent representation of such data. This paper focuses on a widely used technique for hierarchical data, namely treemaps, with a particular emphasis on a specific family of treemaps, designed to take into account spatial constraints in the layout, called Spatially Dependent Treemap (SDT). The contributions of this paper are threefold. First, we present the "Weighted Maps", a novel SDT layout algorithm and discuss the algorithmic differences with the other state-of-the-art SDT algorithms. Second, we present the quantitative results and analyses of a number of metrics that were used to assess the quality of the resulting layouts. The analyses are illustrated with figures generated from various datasets. Third, we show that the Weighted Maps algorithm offers a significant advantage for the layout of large flat cartograms and multilevel hierarchies having a large branching factor.

Paper Details

Date Published: 8 February 2015
PDF: 15 pages
Proc. SPIE 9397, Visualization and Data Analysis 2015, 93970G (8 February 2015); doi: 10.1117/12.2079420
Show Author Affiliations
Mohammad Ghoniem, Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)
Maël Cornil, Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)
Bertjan Broeksema, Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)
Mickaël Stefas, Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)
Benoît Otjacques, Ctr. de Recherche Public - Gabriel Lippmann (Luxembourg)


Published in SPIE Proceedings Vol. 9397:
Visualization and Data Analysis 2015
David L. Kao; Ming C. Hao; Mark A. Livingston; Thomas Wischgoll, Editor(s)

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