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X-WR-CALNAME;VALUE=TEXT:UMCES Events
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DTSTART:20191103T020000
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UID:calendar.4726.field_date_time.0@www.umces.edu
DTSTAMP:20260409T185415Z
CREATED:20190906T134523Z
DESCRIPTION:October 17\, 2019 3:30pm to 4:30pm    \n    \n      \n\n\n    
 \n\n              \nAppalachian Laboratory\n      \n\n\n\n\n  \n\n    \n\n
               \n\n\n          \n\n              \n\n    \n\n              
 \n  \n  \n      \n\n          \n  \n  \n\n    \n\n              \n\n\nDr. 
 Andrew Royle\, USGS\, will present 'The quantitative turtle analysis proje
 ct at Patuxent: Machine learning turtles\,' as part of the Appalachian Lab
 oratory's Visiting Scholar Seminar Series.  To learn more about Dr. Royle'
 s work\, visit his research website.  \n\n\nSeminar Description: \n\n\nCap
 ture-recapture methods have a long history in ecology and they provide a w
 ealth of demographic information on animal populations including populatio
 n size or density\, and vital rates such as survival and recruitment. Capt
 ure-recapture methods require individual identification of animals in a po
 pulation which historically required physical marking such as banding\, no
 tching\, ear tagging\, or toe clipping. The field of capture-recapture has
  been revolutionized by the adoption of new technologies for identificatio
 n such as noninvasive genetics and photographic identification using remot
 e cameras which do not require physical marking\, thus allowing capture-re
 capture to be applied to many situations where physical marking has been i
 mpractical. Recent developments in statistical classification (or machine 
 learning) seek to identify individuals from digital samples such as photog
 raphs or audio spectrograms automatically\, thus removing or streamlining 
 the step of manual interpretation in the conversion of data from new techn
 ologies to individual identities. Turtles are especially amenable to the a
 pplication of methodologies for individual identification based on feature
 s extracted from digital photographs. We are developing approaches to indi
 vidual identification of turtles from photographs\, using a case study of 
 box turtles on the Patuxent Research Refuge. There is a long history of tu
 rtle marking on the refuge going back to the 1950s and a large database of
  known-identity individuals exists. This has been supplemented with photog
 raphs from roadside encounters by 'citizen scientists' and an on-going eff
 ort based on field searches. In my seminar\, I will introduce the Patuxent
  box turtle study and discuss the context of capture-recapture and automat
 ed classification.\n\n\n \n\n\n\nThe full Visiting Scholar Seminar Series 
 can be found on the seminar website. 
DTSTART;TZID=America/New_York:20191017T153000
DTEND;TZID=America/New_York:20191017T163000
LAST-MODIFIED:20190906T135610Z
SUMMARY:Visiting Scholar Seminar Series: Andrew Royle\, USGS
URL;TYPE=URI:https://www.umces.edu/events/visiting-scholar-seminar-series-a
 ndrew-royle-usgs
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