Abstract
The advances in location-acquisition technologies and the prevalence of location-based services have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Such trajectories offer us unprecedented information to understand moving objects and locations that could benefit a broad range of applications.
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Acknowledgements
This work was supported in part by NSF awards #1618448, #1652525, #1639150, and #1544455. The views and conclusions contained in this paper are those of the author and should not be interpreted as representing any funding agencies.
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Li, Z. (2017). Semantic Understanding of Spatial Trajectories. In: Gertz, M., et al. Advances in Spatial and Temporal Databases. SSTD 2017. Lecture Notes in Computer Science(), vol 10411. Springer, Cham. https://doi.org/10.1007/978-3-319-64367-0_24
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DOI: https://doi.org/10.1007/978-3-319-64367-0_24
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