Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History

The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at time points within a gap, based on empirical m...

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Bibliographic Details
Main Authors: Chang Ren, Luliang Tang, Jed Long, Zihan Kan, Xue Yang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/10/7/456