Title
Cartographic visualization of human trajectory data: overview and analysis.
Abstract
With the prevalence of mobile computing systems and location based services, large amounts of spatio-temporal data are nowadays being collected, representing the mobility of people performing various activities. However, despite the increasing interest in the exploration of these data, there are still open challenges in various application contexts, e.g. related to visualisation and human–computer interaction. In order to support the extraction of useful and relevant information from the spatio-temporal and the thematic properties associated with human trajectories, it is crucial to develop and study adequate interactive visualisation techniques. In addition to the properties of the visualisations themselves, it is important to take into consideration the types of information present within the data and, more importantly, the types of tasks that a user might need to consider in order to achieve a given goal. The understanding of these factors may, in turn, simplify the development and the assessment of a given interactive visualisation. In this paper, we present and analyse the most relevant concepts associated to these topics. In particular, our analysis addresses the main properties associated with human trajectory data, the main types of visualisation tasks/objectives that the users may require in order to analyse that data and the high-level classes of techniques for visualising trajectory data. In addition, this paper also presents an overview on a user study, conducted in function of this analysis, to compare two classes of visualisation techniques, namely static maps and space-time cubes, regarding their adequacy in helping users completing basic visualisation tasks.
Year
DOI
Venue
2015
10.1080/17489725.2015.1074736
J. Location Based Services
Keywords
Field
DocType
cartography, interactive maps, trajectory data, spatio-temporal data, visualisation, human-computer interaction, static maps, space-time cubes
Mobile computing,Data mining,Visualization,Computer science,Location-based service,Visualisation techniques,Interactive visualization,Thematic map,Multimedia,Trajectory
Journal
Volume
Issue
ISSN
9
2
1748-9725
Citations 
PageRank 
References 
3
0.38
32
Authors
3
Name
Order
Citations
PageRank
Tiago Gonçalves1275.97
Ana Paula Afonso216022.64
Bruno Martins344134.58