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CATEGORIES:Lecture, Colloquia, Seminar
DESCRIPTION:4:00pm to 5:00pm (Central Time) \n\nThursday\, April 8\, 2021\n
  \n\nZoom Link:   https://ksu.zoom.us/j/98427243707 \n\nMeeting ID:  984 27
 24 3707\n\n \n\nHenry Scharf\n\nDepartment of Mathematics and Statistics\, 
 San Diego State University\n\n \n\nTitle\n\n Movement data reveal dynamic s
 ocial relationships\n\n\nAbstract\n\nSatellite-based tracking devices allow
  researchers to collect increasingly rich data for a wide variety of animal
 s. These data often provide a reasonably inexpensive source of information 
 about the behavior of not just one\, but several individuals. Data used to 
 define social connectivity are often expensive to collect and based on case
 -specific\, ad hoc criteria. Moreover\, in applications involving animal so
 cial networks\, collection of these data is often opportunistic and can be 
 invasive. Frequently\, social relationships influence the way individuals m
 ove. Thus telemetry data\, which are minimally-invasive and relatively inex
 pensive to collect\, present an alternative source of information for learn
 ing about animal social structure. I describe two recent model-based approa
 ches for inferring dynamic social relationships from movement data and demo
 nstrate the methods using remotely-sensed locations of killer whales and sa
 ndhill cranes. I conclude with current and emerging challenges to the analy
 sis of movement data for multiple individuals and some preliminary successe
 s in attempts to address those challenges.
DTEND:20210408T220000Z
DTSTAMP:20260308T174312Z
DTSTART:20210408T210000Z
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SEQUENCE:0
SUMMARY:Statistics Seminar - Dr. Henry Scharf
UID:tag:localist.com\,2008:EventInstance_36396325083417
URL:https://events.k-state.edu/event/statistics_seminar_-_dr_henry_scharf_4
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