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Many crucial planning decisions in society and business rely on a deep understanding of movement across various fields, including transportation, logistics, and life sciences. The advent of mobile phones and technologies like GPS and RFID has generated vast amounts of location and movement data. To harness this information effectively, new visualization methods and algorithmic data analysis techniques are essential. The authors explore modern visual analytics methods capable of addressing the challenges posed by movement data, emphasizing the availability of necessary technology and software. They begin by outlining the types of data that describe movement, from individual trajectories to those of multiple objects, and introduce a conceptual framework for understanding movement data. This foundation leads to practical discussions on transforming movement data for enhanced utility and the infrastructure required for effective visual analytics. The authors demonstrate that analyzing movement data can reveal insights into the behavior of moving entities and the events surrounding their movement. Throughout the text, sample applications from diverse domains are presented, complemented by graphical representations of interactive displays and analysis results. This comprehensive exploration of visual analytics will benefit researchers, software technologists, and practitioners alike, offering scientific precision, essential algorith
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Visual analytics of movement, Gennady Andrienko
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- Année de publication
- 2013
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