Interactive visualization of streaming data with Kernel Density Estimation

In this paper, we discuss the extension and integration of the statistical concept of Kernel Density Estimation (KDE) in a scatterplot-like visualization for dynamic data at interactive rates. We present a line kernel for representing streaming data, we discuss how the concept of KDE can be adapted...

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Bibliographic Details
Published in:2011 IEEE Pacific Visualization Symposium pp. 171 - 178
Main Authors: Lampe, Ove Daae, Hauser, Helwig
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2011
Subjects:
Bandwidth
Data visualization
Estimation
G.3 [Mathematics of Computing]: Probability and Statistics-Time series analysis
Histograms
I.3.3 [Computing Methodologies]: Computer Graphics-Picture/Image Generation
Kernel
Marine vehicles
Pixel
ISBN:1612849350, 9781612849355
ISSN:2165-8765
Online Access:Get full text
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Summary:In this paper, we discuss the extension and integration of the statistical concept of Kernel Density Estimation (KDE) in a scatterplot-like visualization for dynamic data at interactive rates. We present a line kernel for representing streaming data, we discuss how the concept of KDE can be adapted to enable a continuous representation of the distribution of a dependent variable of a 2D domain. We propose to automatically adapt the kernel bandwith of KDE to the viewport settings, in an interactive visualization environment that allows zooming and panning. We also present a GPU-based realization of KDE that leads to interactive frame rates, even for comparably large datasets. Finally, we demonstrate the usefulness of our approach in the context of three application scenarios - one studying streaming ship traffic data, another one from the oil & gas domain, where process data from the operation of an oil rig is streaming in to an on-shore operational center, and a third one studying commercial air traffic in the US spanning 1987 to 2008.
ISBN:1612849350
9781612849355
ISSN:2165-8765
DOI:10.1109/PACIFICVIS.2011.5742387