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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Spatially ordered treemaps.

Jo Wood1, Jason Dykes

  • 1giCentre, School of Informatics, City University London. jwo@soi.city.ac.uk

IEEE Transactions on Visualization and Computer Graphics
|November 8, 2008
PubMed
Summary
This summary is machine-generated.

New spatial treemap algorithms improve visual ordering consistency for data with geographic components. This enhances cognitive plausibility and enables better geovisualization through tessellated cartograms.

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Area of Science:

  • Computer Science
  • Information Visualization
  • Geographic Information Systems

Background:

  • Existing treemap algorithms often present inconsistent visual ordering relative to data order, impacting cognitive plausibility.
  • Current solutions for ordering inconsistency primarily address one-dimensional arrangements, neglecting spatial data's two-dimensional nature.

Purpose of the Study:

  • To enhance treemap layout algorithms by better utilizing the two-dimensional arrangement of nodes.
  • To propose a spatial squarified layout algorithm for improved node arrangement consistency and low aspect ratios.

Main Methods:

  • Extensions to the squarified treemap layout algorithm were developed.
  • Locational consistency was quantitatively measured and visualized.
  • CIELab color space and displacement vector overlays were employed for spatial assessment.

Main Results:

  • The proposed spatial squarified layout algorithm demonstrates more consistent node arrangement.
  • The algorithm effectively exploits the two-dimensional nature of treemap data.
  • The method is suitable for data with geographic components, enabling tessellated cartograms.

Conclusions:

  • The spatial squarified layout algorithm offers improved cognitive plausibility for treemaps.
  • This approach enhances geovisualization by creating consistent, tessellated cartograms.
  • The method provides a robust way to visualize and analyze spatially-referenced data.