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Crowdsourced camera
trapping for ecology &
citizen science
Pen-Yuan Hsing
Durham University
screenshot from http://www.snapshotserengeti.org/, fair use
collect classify analyse
3 steps to camera trap ecology
higher level of engagement
ie. Haklay (2013)*
*Haklay, M., 2013, in Sui, D.Z., Elwood, S. and M.F. Goodchild (eds.), 2013. Crowdsourcing Geographic Knowledge: Volunteered Geographic
Information (VGI) in Theory and Practice. Berlin: Springer. pp 105-122 DOI: 10.1007/978-94-007-4587-2_7
MammalWeb logo under CC-BY-SA 4.0. Other logos under fair use
50+
local citizen
scientists
deploying
camera traps
since
May 2015
120+ sites across
north east England
53000+
photos classified
86000+
photos uploaded
June April
2015
January
2016
hour of day
relativePr(capturedbycamera)
example:
badger activity pattern
logos under fair use
interactive
data
visualisations
logos under fair use
federated and standardised
“open source” cyberinfrastructure
federated and standardised
“open source” cyberinfrastructure
web platform protocol
& docs
Search for MammalWeb on F1000research.com or
figshare to find most of these slides, shared under the
Creative Commons Attribution 4.0 Intl license*.
All copyrights remain with their respective assignees.
www.MammalWeb.org
biodiv.monitoring@durham.ac.uk
@MammalWeb
f Mammal Web
*unless otherwise noted on the slide

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Crowdsourced camera trapping for ecology & citizen science