Envisioning information
Exploring spatial data representation with dynamic graphics
Computers & Geosciences - Special issue on exploratory cartographic visualization
GeoTime Information Visualization
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Cellular Census: Explorations in Urban Data Collection
IEEE Pervasive Computing
MobileMiner: a real world case study of data mining in mobile communication
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Inferring human mobility patterns from anonymized mobile communication usage
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
AllAboard: visual exploration of cellphone mobility data to optimise public transport
Proceedings of the 19th international conference on Intelligent User Interfaces
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In this paper, we propose a tool to explore human movement dynamics in a Metropolitan Area. By analyzing a mass of individual cell phone traces, we build a Human-City Interaction System for understanding urban mobility patterns at different user-controlled temporal and geographic scales. We solve the problems that are found in available tools for spatio-temporal analysis, by allowing seamless manipulability and introducing a simultaneous\multi-scale visualization of individual and aggregate flows. Our tool is built to support the exploration and discovery of urban mobility patterns and the daily interactions of millions of people. Moreover, we implement an intelligent algorithm to evaluate the level of mobility homophily of people moving from place to place.