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A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events
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Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data
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Extracting Dynamic Urban Mobility Patterns from Mobile Phone Data
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Correlating mobile phone usage and travel behavior – A case study of Harbin, China
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Growth, innovation, scaling, and the pace of life in cities
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Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks
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Geovisual analytics for spatial decision support: Setting the research agenda
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A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage
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Identifying human spatio-temporal activity patterns from mobile-phone traces
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Spatiotemporal Accuracy in Mobile Phone Location: Assessing the New Cellular Geography
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Redrawing the Map of Great Britain from a Network of Human Interactions
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Mastering the Information Age Solving Problems with Visual Analytics
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