Evidence map›Paper›PMID 29084968›Full record

ArticleScientific reports2017

Positioning of aquatic animals based on time-of-arrival and random walk models using YAPS (Yet Another Positioning Solver).

Henrik Baktoft, Karl Øystein Gjelland, Finn Økland, Uffe Høgsbro Thygesen

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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  15. Frontiers in quantifying wildlife behavioural responses to chemical pollution.Biological reviews of the Cambridge Philosophical Society · 2022
    Review
  16. Social networks and the conservation of fish.Communications biology · 2022
    Review
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Henrik BaktoftNational Institute of Aquatic Resources, Technical University of Denmark, 8600, Silkeborg, Denmark. hba@aqua.dtu.dk.ORCID 0000-0002-3644-4960
Karl Øystein GjellandNorwegian Institute of Nature Research, 9007, Tromsø, Norway.ORCID 0000-0003-4036-4207
Finn ØklandNorwegian Institute of Nature Research, 7485, Trondheim, Norway.
Uffe Høgsbro ThygesenNational Institute of Aquatic Resources, Technical University of Denmark, 2800, Lyngby, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic positional telemetry offers vast opportunities to study in vivo behaviour of wild animals, but there is room for improvement in the data quality provided by current procedures for estimating positions. Here we present a novel positioning method called YAPS (Yet Another Positioning Solver), involving Maximum Likelihood analysis of a state-space model applied directly to time of arrival (TOA) data in combination with a movement model. YAPS avoids the sequential positioning-filtering-approach applied in alternative tools by using all available data in a single model, and offers better accuracy and error control. Feasibility and performance of YAPS was rigorously tested in a simulation study and by applying YAPS to data from an acoustic transmitter towed in a receiver array. Performance was compared to an alternative positioning model and proprietary software. The simulation study and field test revealed that YAPS performance was better and more consistent than alternatives. We conclude that YAPS outperformed the compared alternative methods, and that YAPS constitute a vast improvement to currently available positioning software in acoustic telemetry. Additionally, in contrast to vendor-supplied solutions, YAPS is transparent, flexible and can easily be adapted and extended for further improvements or to meet study specific requirements such as three-dimensional positioning.

Indexed as

AcousticsAnimalsAnimals, WildAquatic OrganismsComputer SimulationLikelihood FunctionsModels, TheoreticalMovementRemote Sensing TechnologyTelemetry

Identifiers

PMID29084968
PMCPMC5662720

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.