Identifying multiscale spatio-temporal patterns in human mobility using manifold learning

When, where and how people move is a fundamental part of how human societies organize around every-day needs as well as how people adapt to risks, such as economic scarcity or instability, and natural disasters. Our ability to characterize and predict the diversity of human mobility patterns has bee...

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Bibliographic Details
Main Authors: James R. Watson, Zach Gelbaum, Mathew Titus, Grant Zoch, David Wrathall
Format: Article
Language:English
Published: PeerJ Inc. 2020-06-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-276.pdf