OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Supporting visual exploration of object movement
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Computational Statistics & Data Analysis - Data visualization
Geo time information visualization
Information Visualization
Similarity Search in Trajectory Databases
TIME '07 Proceedings of the 14th International Symposium on Temporal Representation and Reasoning
Dynamics-aware similarity of moving objects trajectories
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Supporting visual exploration of massive movement data
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Visual Analytics: Definition, Process, and Challenges
Information Visualization
A Visual Analytics Approach to Exploration of Large Amounts of Movement Data
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Situvis: A Visual Tool for Modeling a User's Behaviour Patterns in a Pervasive Environment
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Visually driven analysis of movement data by progressive clustering
Information Visualization
Visual cluster analysis of trajectory data with interactive Kohonen maps
Information Visualization
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Trajectory pattern analysis for urban traffic
Proceedings of the Second International Workshop on Computational Transportation Science
Interactive cluster analysis of diverse types of spatiotemporal data
ACM SIGKDD Explorations Newsletter
Movement Data Anonymity through Generalization
Transactions on Data Privacy
Wakame: sense making of multi-dimensional spatial-temporal data
Proceedings of the International Conference on Advanced Visual Interfaces
Situvis: A sensor data analysis and abstraction tool for pervasive computing systems
Pervasive and Mobile Computing
Clustering vessel trajectories with alignment kernels under trajectory compression
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Unsupervised trajectory sampling
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
A web-based visualisation tool for analysing mouse movements to support map personalisation
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Analysing the spatial dimension of eye movement data using a visual analytic approach
Expert Systems with Applications: An International Journal
Unveiling the complexity of human mobility by querying and mining massive trajectory data
The VLDB Journal — The International Journal on Very Large Data Bases
Analytical workflow of monitoring human mobility in big event settings using Bluetooth
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Where traffic meets DNA: mobility mining using biological sequence analysis revisited
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
A visual analytics system for metropolitan transportation
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Visually exploring movement data via similarity-based analysis
Journal of Intelligent Information Systems
Clustering user trajectories to find patterns for social interaction applications
W2GIS'12 Proceedings of the 11th international conference on Web and Wireless Geographical Information Systems
A time cost optimization for similar scenarios mobile GIS queries
Journal of Visual Languages and Computing
Time Automaton: A visual mechanism for temporal querying
Journal of Visual Languages and Computing
Visual Mobility Analysis using T-Warehouse
International Journal of Data Warehousing and Mining
Interpreting pedestrian behaviour by visualising and clustering movement data
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
Storygraph: extracting patterns from spatio-temporal data
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
Semantic trajectories modeling and analysis
ACM Computing Surveys (CSUR)
Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
Vector field k-means: clustering trajectories by fitting multiple vector fields
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
Hi-index | 0.00 |
With widespread availability of low cost GPS devices, it is becoming possible to record data about the movement of people and objects at a large scale. While these data hide important knowledge for the optimization of location and mobility oriented infrastructures and services, by themselves they lack the necessary semantic embedding which would make fully automatic algorithmic analysis possible. At the same time, making the semantic link is easy for humans who however cannot deal well with massive amounts of data. In this paper, we argue that by using the right visual analytics tools for the analysis of massive collections of movement data, it is possible to effectively support human analysts in understanding movement behaviors and mobility patterns. We suggest a framework for analysis combining interactive visual displays, which are essential for supporting human perception, cognition, and reasoning, with database operations and computational methods, which are necessary for handling large amounts of data. We demonstrate the synergistic use of these techniques in case studies of two real datasets.