Name
Abstract | ||
|---|---|---|
With the prevalence of mobile computing systems and location based services, the research interest on spatio-temporal data has significantly increased, as evidenced by the collection of huge amounts of movement data. Consequently, this type of data raises several issues, namely in the research area of geographic information visualization. Despite the existence of several visual analysis techniques for the exploration of movement data, it is still unclear how usable and useful these techniques are, how can they be improved, and for which situations are these techniques most suitable. In this paper, we present current open challenges on the visual analysis of movement data, and the Ph.D work in progress aiming to address these problems. Our work will explore several factors that may affect the users' performance, and, based on those factors we will propose a taxonomy and an evaluation framework covering different tasks and techniques. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MDM.2013.56 | MDM (2) |
Keywords | Field | DocType |
visual analysis,current open challenge,ph.d work,movement data,spatio-temporal data,mobility data,visual analysis technique,evaluation framework,research interest,research area,different task,taxonomy,data visualization,trajectory,geographic information systems,uncertainty,usability,location based services,data visualisation,mobile computing,visualization,animated maps,gis,animation | Mobile computing,Data science,Data mining,Geographic information system,Data visualization,Information visualization,Computer science,Work in process,Visualization,Location-based service,Animated mapping,Distributed computing | Conference |
Citations | PageRank | References |
4 | 0.46 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiago Goncalves | 1 | 4 | 0.46 |
| Ana Paula Afonso | 2 | 160 | 22.64 |
| Bruno Martins | 3 | 441 | 34.58 |