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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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Podrobná bibliografie
Vydáno v:PeerJ Comput Sci
Hlavní autoři: Watson, James R., Gelbaum, Zach, Titus, Mathew, Zoch, Grant, Wrathall, David
Médium: Artigo
Jazyk:Inglês
Vydáno: PeerJ Inc. 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7924485/
https://ncbi.nlm.nih.gov/pubmed/33816927
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.276
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