Publikation:

pamlr : A toolbox for analysing animal behaviour using pressure, acceleration, temperature, magnetic or light data in R

Lade...
Vorschaubild

Dateien

Dhanjal-Adams_2-mo1vnvcfepny8.pdf
Dhanjal-Adams_2-mo1vnvcfepny8.pdfGröße: 4.98 MBDownloads: 262

Datum

2022

Autor:innen

Willener, Astrid S. T.
Liechti, Felix

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Link zur Lizenz

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Hybrid
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Journal of Animal Ecology. Wiley-Blackwell - STM. 2022, 91(7), pp. 1345-1360. ISSN 0021-8790. eISSN 1365-2656. Available under: doi: 10.1111/1365-2656.13695

Zusammenfassung

Light-level geolocators have revolutionised the study of animal behaviour. However, lacking spatial precision, their usage has been primary targeted towards the analysis of large-scale movements. Recent technological developments have allowed the integration of magnetometers and accelerometers into geolocator tags in addition to barometers and thermometers, offering new behavioural insights. Here, we introduce an R toolbox for identifying behavioural patterns from multisensor geolocator tags, with functions specifically designed for data visualisation, calibration, classification and error estimation. More specifically, the package allows for the flexible analysis of any combination of sensor data using k-means clustering, expectation maximisation binary clustering, hidden Markov models and changepoint analyses. Furthermore, the package integrates tailored algorithms for identifying periods of prolonged high activity (most commonly used for identifying migratory flapping flight), and pressure changes (most commonly used for identifying dive or flight events). Finally, we highlight some of the limitations, implications and opportunities of using these methods.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690DHANJAL-ADAMS, Kiran L., Astrid S. T. WILLENER, Felix LIECHTI, 2022. pamlr : A toolbox for analysing animal behaviour using pressure, acceleration, temperature, magnetic or light data in R. In: Journal of Animal Ecology. Wiley-Blackwell - STM. 2022, 91(7), pp. 1345-1360. ISSN 0021-8790. eISSN 1365-2656. Available under: doi: 10.1111/1365-2656.13695
BibTex
@article{DhanjalAdams2022-07pamlr-57475,
  year={2022},
  doi={10.1111/1365-2656.13695},
  title={pamlr : A toolbox for analysing animal behaviour using pressure, acceleration, temperature, magnetic or light data in R},
  number={7},
  volume={91},
  issn={0021-8790},
  journal={Journal of Animal Ecology},
  pages={1345--1360},
  author={Dhanjal-Adams, Kiran L. and Willener, Astrid S. T. and Liechti, Felix}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/57475">
    <dcterms:issued>2022-07</dcterms:issued>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43615"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/57475"/>
    <dc:language>eng</dc:language>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc/4.0/"/>
    <dc:contributor>Dhanjal-Adams, Kiran L.</dc:contributor>
    <dc:creator>Dhanjal-Adams, Kiran L.</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57475/1/Dhanjal-Adams_2-mo1vnvcfepny8.pdf"/>
    <dcterms:title>pamlr : A toolbox for analysing animal behaviour using pressure, acceleration, temperature, magnetic or light data in R</dcterms:title>
    <dcterms:abstract xml:lang="eng">Light-level geolocators have revolutionised the study of animal behaviour. However, lacking spatial precision, their usage has been primary targeted towards the analysis of large-scale movements. Recent technological developments have allowed the integration of magnetometers and accelerometers into geolocator tags in addition to barometers and thermometers, offering new behavioural insights. Here, we introduce an R toolbox for identifying behavioural patterns from multisensor geolocator tags, with functions specifically designed for data visualisation, calibration, classification and error estimation. More specifically, the package allows for the flexible analysis of any combination of sensor data using k-means clustering, expectation maximisation binary clustering, hidden Markov models and changepoint analyses. Furthermore, the package integrates tailored algorithms for identifying periods of prolonged high activity (most commonly used for identifying migratory flapping flight), and pressure changes (most commonly used for identifying dive or flight events). Finally, we highlight some of the limitations, implications and opportunities of using these methods.</dcterms:abstract>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43615"/>
    <dc:contributor>Willener, Astrid S. T.</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-09T11:00:56Z</dc:date>
    <dc:rights>Attribution-NonCommercial 4.0 International</dc:rights>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Liechti, Felix</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-09T11:00:56Z</dcterms:available>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57475/1/Dhanjal-Adams_2-mo1vnvcfepny8.pdf"/>
    <dc:creator>Willener, Astrid S. T.</dc:creator>
    <dc:creator>Liechti, Felix</dc:creator>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Ja
Diese Publikation teilen