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Survey design for underwater robots: accomodating autocorrelation and constrained sampling


Foster, SD and Hosack, GR and Hill, NA and Barrett, NS and Lucieer, VL, Survey design for underwater robots: accomodating autocorrelation and constrained sampling, 4th International Statistical Ecology Conference Proceedings, 1-4 July 2014, Montpelier, France, pp. 14. (2014) [Conference Extract]

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Autonomous underwater vehicles (AUV), which collect images of marine habitats, are now an established sampling tool. The use of AUVs is becoming more widespread as they oer a non-destructive method to survey substantial spatial areas. In this presentation, we investigate statistical aspects to AUV survey design for estimation of percentage cover of key benthic biota. in particular, we investigate the presence of spatial autocorrelation in AUV data and allow for it when evaluate dierent approaches to designing surveys. The design strategies varied in their statistical performance and nearly all strategies had short-comings. Design strategies that were consistently poor performers had: a) transects placed in parallel in a single spatial dimension, and b) made no attempt to spread-out the transects in space. The superior design types had more transect-to-transect separation (but not too much) and eectively spanned important covariates. The results give guidelines to researchers designing AUV surveys for biological mapping and for monitoring. In particular, we demonstrate that any spatial design should seek spatial balance, such as would be introduced by a systematic or stratied component within a randomised design. Knowledge of the system under study should be incorporated and, if possible, should be done so in a formal manner that is objective and repeatable.

Item Details

Item Type:Conference Extract
Keywords:AUV survey design
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Marine and estuarine ecology (incl. marine ichthyology)
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Assessment and management of terrestrial ecosystems
UTAS Author:Hill, NA (Dr Nicole Hill)
UTAS Author:Barrett, NS (Associate Professor Neville Barrett)
UTAS Author:Lucieer, VL (Dr Vanessa Lucieer)
ID Code:99114
Year Published:2014
Deposited By:IMAS Research and Education Centre
Deposited On:2015-03-13
Last Modified:2015-03-13
Downloads:2 View Download Statistics

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