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Mobility Data
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  • Cited by 15
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Cuenca-Jara, Jesus Terroso-Saenz, Fernando Sanchez-Iborra, Ramon and Skarmeta-Gomez, Antonio F. 2018. Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. Vol. 10978, Issue. , p. 140.

    Soares Junior, Amilcar Cesario Times, Valeria Renso, Chiara Matwin, Stan and Cabral, Lucidio A.F. 2018. A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. p. 145.

    Soares Junior, Amilcar Renso, Chiara and Matwin, Stan 2017. ANALYTiC: An Active Learning System for Trajectory Classification. IEEE Computer Graphics and Applications, Vol. 37, Issue. 5, p. 28.

    Abbasifard, Mohamad Reza and naderi, hassan 2017. Indexing the past and current position of moving objects in large-scale dataset . Journal of Geospatial Information Technology, Vol. 5, Issue. 2, p. 141.

    Güting, Ralf Hartmut 2017. Encyclopedia of Database Systems. p. 1.

    Van de Weghe, Nico 2017. Encyclopedia of GIS. p. 2177.

    Cruz, Christophe 2017. Semantic Trajectory Modeling for Dynamic Built Environments. p. 468.

    Etienne, Laurent Devogele, Thomas Buchin, Maike and McArdle, Gavin 2016. Trajectory Box Plot: a new pattern to summarize movements. International Journal of Geographical Information Science, Vol. 30, Issue. 5, p. 835.

    Damiani, Maria Luisa Issa, Hamza Güting, Ralf Hartmut and Valdes, Fabio 2015. Symbolic trajectories and application challenges. SIGSPATIAL Special, Vol. 7, Issue. 1, p. 51.

    Van de Weghe, Nico 2015. Encyclopedia of GIS. p. 1.

    Witlox, Frank 2015. Beyond the Data Smog?. Transport Reviews, Vol. 35, Issue. 3, p. 245.

    Hurter, Christophe 2015. Analysis and Visualization of Citation Networks. Synthesis Lectures on Visualization, Vol. 3, Issue. 2, p. 1.

    Abbasifard, Mohammad Reza Naderi, Hassan Alamdari, Omid Isfahani and Jafari, Ali 2015. New method for management of moving objects trajectories in intelligent transportation systems. p. 492.

    Wu, Jing Claramunt, Christophe and Deng, Min 2015. An integrated qualitative and boundary-based formal model for a semantic representation of trajectories. SIGSPATIAL Special, Vol. 7, Issue. 1, p. 35.

    da Silva, Maria Carolina Torres Times, Valéria Cesário de Macêdo, José Antônio and Renso, Chiara 2015. SWOT. p. 11.


Book description

Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.

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