Inferring Stop-Locations from WiFi.
Human mobility patterns are inherently complex. In terms of understanding these patterns, the process of converting raw data into series of stop-locations and transitions is an important first step which greatly reduces the volume of data, thus simplifying the subsequent analyses. Previous research...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4763164?pdf=render |