Corpus ID: 209318175

scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data

@article{Pappalardo2019scikitmobilityAP,
  title={scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data},
  author={L. Pappalardo and Filippo Simini and Gianni Barlacchi and Roberto Pellungrini},
  journal={arXiv: Physics and Society},
  year={2019}
}
  • L. Pappalardo, Filippo Simini, +1 author Roberto Pellungrini
  • Published 2019
  • Computer Science, Physics
  • arXiv: Physics and Society
  • The last decade has witnessed the emergence of massive mobility data sets, such as tracks generated by GPS devices, call detail records, and geo-tagged posts from social media platforms. These data sets have fostered a vast scientific production on various applications of mobility analysis, ranging from computational epidemiology to urban planning and transportation engineering. A strand of literature addresses data cleaning issues related to raw spatiotemporal trajectories, while the second… CONTINUE READING
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