Space Bundling for Continuous Parallel Coordinates
2016 (English)In: Eurographics Proceedings, The Eurographics Association , 2016Conference paper (Refereed)
Continuous Parallel Coordinates (CPC) are a visualization technique used to perform multivariate analysis of different scalar fields defined on thesame domain.While classic Parallel Coordinatesdraws a line for each sample point,a CPC visualization uses a density-based representation.An interesting possibility for the classic methodis to highlight higher-dimensional clustersusing edge bundling,where each line becomes a spline bent towards the centroid of the cluster.This often leads to expressive, illustrative visualizations.Unfortunately, bundling lines is not possible for CPC,as they are not involved in this method.In this paper,we propose a deformation of the visualization space for Continuous Parallel Coordinatesthat leads to similar results as those obtained through classic edge bundling.We achieve this by performing a curved-profile transformation in image space.The approach lends itself to a computationally lightweight GPU implementation.Furthermore, we provide intuitive interactionswith the bundled clusters.We show several examples of our technique applied to a commonly available data set.
Place, publisher, year, edition, pages
The Eurographics Association , 2016.
Picture/Image Generation, Bitmap and framebuffer operations, Line and curve generation
IdentifiersURN: urn:nbn:se:kth:diva-193728OAI: oai:DiVA.org:kth-193728DiVA: diva2:1033959
EuroVis 2016, June 2016, Groningen, the Netherlands
QC 201610112016-10-102016-10-102016-10-11Bibliographically approved