Interactive Visualization of Massive Location Data using Multi-Scale Trajectories
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Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Today location information on aircraft and vessels is collected worldwide and readily available to analysts. When analyzing such data for a large area or a long period of time, the sheer size of the dataset becomes a challenge. Especially when one wants to work interactively at both overview and detail scales. We present a scalable approach to visualize such data by treating it as a set of trajectories simplified at different error rates. When combined with tiling and GPU-based visualization, we can interactively and visually analyze a dataset of 1 billion position records on a workstation.
Description
@inproceedings{10.2312:eurp.20171170,
booktitle = {EuroVis 2017 - Posters},
editor = {Anna Puig Puig and Tobias Isenberg},
title = {{Interactive Visualization of Massive Location Data using Multi-Scale Trajectories}},
author = {Bodt, Thomas De and Adams, Bart and Aerts, Jan},
year = {2017},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-044-4},
DOI = {10.2312/eurp.20171170}
}