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Applications of high-frequency movement data for exploring and modeling fishing behavior
April 6 @ 12:00 pm - 1:00 pm
The existence of high-frequency space-time data on human activities and movements is permitting the exploration and prediction of behavior in unprecedented ways. Cellphone data, for example, has been used to understand the differential abilities of income groups to respond to COVID-19 emergency declarations, to better predict traffic patterns, and to understand global mobility patterns. In the fishery context, I will discuss how researchers in the NatuRE Policy lab at UC Davis and collaborators have used satellite tracking data of vessels that report GPS coordinates throughout their voyage to investigate the explore-exploit tradeoff, to identify behavioral typologies of fishing vessels, and to revisit methodologies developed to explore space-time behavior of fishers to better understand their potential strengths and weaknesses for policy analysis.
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