Abstract
As a consequence of the prevalence of mobile computing and location based services, huge amounts of movement data are nowadays being collected. While the research interest on the analysis of trajectory data has also significantly increased, there are still several open challenges in areas related to geographic information systems. Despite the existence of several techniques for the visualization of movement data, it is still unclear how usable and useful these techniques are, how can they be improved, and in which tasks they should be used. In this paper, we highlight the current limitations in the visual exploration of trajectory data, and present the ongoing research aiming to address those issues. For that, we propose the development of taxonomies addressing visualization tasks, techniques, and data, based on empirical data, through systematic comparative usability studies, and present an overview of the current results.
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@inproceedings{Goncalves2013,
title = {Visualization Techniques for Exploring Trajectory Data Exploration of Human Mobility Datasets},
author = {Tiago Goncalves and Ana Paula Afonso and Bruno Martins and Daniel Gonçalves},
url = {http://ceur-ws.org/Vol-1136/paper3.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {AGILE PhD-School 2013},
abstract = {As a consequence of the prevalence of mobile computing and location based services, huge amounts of movement data are nowadays being collected. While the research interest on the analysis of trajectory data has also significantly increased, there are still several open challenges in areas related to geographic information systems. Despite the existence of several techniques for the visualization of movement data, it is still unclear how usable and useful these techniques are, how can they be improved, and in which tasks they should be used. In this paper, we highlight the current limitations in the visual exploration of trajectory data, and present the ongoing research aiming to address those issues. For that, we propose the development of taxonomies addressing visualization tasks, techniques, and data, based on empirical data, through systematic comparative usability studies, and present an overview of the current results.},
keywords = {2D Map, Moving Objects, Space-Time Cube, Trajectories},
pubstate = {published},
tppubtype = {inproceedings}
}