Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data : A case study of reintroduced red kites


Autoria(s): Van Der Wal, Rene; Zeng, Cheng; Heptinstall, Danny; Ponnamperuma, Kapila; Mellish, Chris; Benn, Stuart; Siddharthan, Advaith
Data(s)

01/06/2016

01/06/2016

01/11/2015

Resumo

Acknowledgements We thank Andrew Spink (Noldus Information Technology) and the Blogging Birds team members Peter Kindness and Abdul Adeniyi for their valuable contributions to this paper. John Fryxell, Chris Thaxter and Arjun Amar provided valuable comments on an earlier version. The study was part of the Digital Conservation project of dot.rural, the University of Aberdeen’s Digital Economy Research Hub, funded by RCUK (grant reference EP/G066051/1).

Peer reviewed

Publisher PDF

Formato

12

Identificador

Van Der Wal , R , Zeng , C , Heptinstall , D , Ponnamperuma , K , Mellish , C , Benn , S & Siddharthan , A 2015 , ' Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data : A case study of reintroduced red kites ' AMBIO Digital Conservation Special Issue , vol 44 , no. 4 , pp. 612-623 . , 10.1007/s13280-015-0711-3

PURE: 65723005

PURE UUID: bbcbfb45-f2ed-4200-8256-331e3ccc94b6

http://hdl.handle.net/2164/6054

http://dx.doi.org/10.1007/s13280-015-0711-3

Idioma(s)

eng

Relação

AMBIO Digital Conservation Special Issue

Direitos

© The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Palavras-Chave #automated home-range calculation #red kite reintroduction #satellite-tag data #science communication #QH301 Biology #Engineering and Physical Sciences Research Council (EPSRC) #EP/G066051/1 #QH301
Tipo

Journal article

Contribuinte(s)

University of Aberdeen, School of Biological Sciences, Biological Sciences

University of Aberdeen, Natural & Computing Sciences, Computing Science

University of Aberdeen, School of Biological Sciences