V-Track: software for analysing and visualising animal movement from acoustic telemetry detections

Campbell, Hamish A., Watts, Matthew E., Dwyer, Ross G. and Franklin, Craig E. (2012) V-Track: software for analysing and visualising animal movement from acoustic telemetry detections. Marine and Freshwater Research, 63 9: 815-820.


Author Campbell, Hamish A.
Watts, Matthew E.
Dwyer, Ross G.
Franklin, Craig E.
Title V-Track: software for analysing and visualising animal movement from acoustic telemetry detections
Journal name Marine and Freshwater Research   Check publisher's open access policy
ISSN 1323-1650
1448-6059
Publication date 2012-01
Sub-type Article (original research)
DOI 10.1071/MF12194
Volume 63
Issue 9
Start page 815
End page 820
Total pages 6
Place of publication Collingwood, VIC., Australia
Publisher C S I R O Publishing
Collection year 2013
Language eng
Formatted abstract The tagging of aquatic and semi-aquatic animals with acoustic transmitters and their detection by passive underwater receivers has gained huge popularity over the past decade. This technology offers researchers the opportunity to monitor the finite- to broad-scale movements of multiple individuals over many years; however, the sheer scale and spatial complexity of these datasets are often beyond the capabilities of routine database and spread-sheet applications. In the present paper, we describe software (V-Track) that greatly facilitates the assimilation, analysis and synthesis of animal-location data collected by underwater passive acoustic receivers. The principal features within V-Track are the behavioural event qualifier (BEQ) and the receiver-distance matrix (RDM) calculator. The BEQ identifies and catalogues horizontal movements from receiver detection data, or vertical movements from transmitter sensor data (depth or temperature). The RDM is generated from the geographical location of the acoustic receivers and is utilised by V-Track to illustrate the behavioural event information in a spatial context. V-Track is a package written within the R-programming language, and a graphical user interface is also provided. Here, we feature two case studies to demonstrate software functionality for defining and quantifying behaviour in acoustically tagged marine and freshwater vertebrates.
Keyword Behaviour
R. tracking Vemco
Fidelity
Fish
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Biological Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 3 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 81 Abstract Views  -  Detailed Statistics
Created: Thu, 15 Nov 2012, 12:01:07 EST by System User on behalf of School of Biological Sciences