New paper on OzTrack published in Animal Biotelemetry

Want to read more about the OzTrack/ZoaTrack project? Check out our recent publication in Animal Biotelemetry, where we describe the underlying ‘nuts and bolts’ of the system, and discuss applications of the software to species management and conservation.

Animal Biotelemetry

This paper is also a useful resource for users looking to cite OzTrack/ZoaTrack when reporting on how their animal tracking data was processed and analysed in reports and scientific publications.

You can also read an interview relating to this at the BioMed central blog network, where I discuss how this online tool benefits the science community, can increase community involvement and why an open access approach to software and data is the future for conservation science.

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About ross dwyer

I am a Post-doctoral Research Fellow at the School of Biological Sciences, University of Queensland. My research focuses on both fundamental and applied aspects of ecology, including habitat use, foraging behaviour and human-wildlife conflict. My research investigates the drivers of animal movements, space use and community structure. This has included conducting population surveys (by land, boat and aircraft) or using biotelemetry (i.e. VHF radio, GPS and ARGOS satellite telemetry, light-based geolocators (GLS) and underwater acoustic transmitters) to gather data on species abundance, distribution and habitat use. These data are used in combination with environmental data to test hypotheses and make predictions in order to inform species management. I have worked closely with local government, NGOs and industry partners to ensure these survey data are used to achieve positive conservation outcomes and/or improve species management. I possess strong GIS skills and have 8 years of experience of coding in the R programming language. I have developed two open-source spatial analysis packages in R, and am one of the original developers of OzTrack.org, a web-based platform for the analysis and visualisation of animal tracking data.
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