@INPROCEEDINGS {lampe11kde,
author = "Ove Daae Lampe and Helwig Hauser",
title = "Interactive Visualization of Streaming Data with Kernel Density Estimation",
booktitle = "Proceedings of the IEEE Pacific Visualization Symposium (PacificVis 2011)",
year = "2011",
pages = "171--178",
month = "March",
abstract = "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 and 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.",
pdf = "pdfs/lampe11kde.pdf",
vid = "vids/lampe11kde.mp4",
images = "images/lampe11kde1.jpg, images/lampe11kde2.jpg",
thumbnails = "images/lampe11kde1_thumb.jpg, images/lampe11kde2_thumb.jpg",
location = "Hong Kong",
url = "//dx.doi.org/10.1109/PACIFICVIS.2011.5742387"
}