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Adjacency-Preserving Spatial Treemaps

Authors: Kevin Buchin; David Eppstein; Maarten Löffler; Martin Nöllenburg; Rodrigo I. Silveira;

Adjacency-Preserving Spatial Treemaps

Abstract

Rectangular layouts, subdivisions of an outer rectangle into smaller rectangles, have many applications in visualizing spatial information, for instance in rectangular cartograms in which the rectangles represent geographic or political regions. A spatial treemap is a rectangular layout with a hierarchical structure: the outer rectangle is subdivided into rectangles that are in turn subdivided into smaller rectangles. We describe algorithms for transforming a rectangular layout that does not have this hierarchical structure, together with a clustering of the rectangles of the layout, into a spatial treemap that respects the clustering and also respects to the extent possible the adjacencies of the input layout.

Countries
Germany, Netherlands, United States, Spain, Spain
Keywords

ddc:004, Computational Geometry (cs.CG), FOS: Computer and information sciences, :Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC], Computing Methodologies, Computing Methodologies., QA76.75-76.765, :68 Computer science::68U Computing methodologies and applications [Classificació AMS], Computer software, Theory of computation, Informàtica teòrica, QA299.6-433, Classificació AMS::68 Computer science::68U Computing methodologies and applications, Numerical and Computational Mathematics, DATA processing & computer science, Pure mathematics, CG, Computation Theory and Mathematics, Applied mathematics, GIS, Pure Mathematics, 004, Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, Computer Science - Computational Geometry, info:eu-repo/classification/ddc/004, Analysis

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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