Visual analytics of sensor movement data for cheetah behaviour analysis

Lade...
Vorschaubild
Dateien
Klein_2-qcbupfr1h2e50.pdf
Klein_2-qcbupfr1h2e50.pdfGröße: 5.37 MBDownloads: 121
Datum
2021
Autor:innen
Melzheimer, Jörg
Wachter, Bettina
Hofer, Heribert
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
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Journal of Visualization. Springer. 2021, 24(4), pp. 807-825. ISSN 1343-8875. eISSN 1875-8975. Available under: doi: 10.1007/s12650-021-00742-6
Zusammenfassung

Current tracking technology such as GPS data loggers allows biologists to remotely collect large amounts of movement data for a large variety of species. Extending, and often replacing interpretation based on observation, the analysis of the collected data supports research on animal behaviour, on impact factors such as climate change and human intervention on the globe, as well as on conservation programs. However, this analysis is difficult, due to the nature of the research questions and the complexity of the data sets. It requires both automated analysis, for example, for the detection of behavioural patterns, and human inspection, for example, for interpretation, inclusion of previous knowledge, and for conclusions on future actions and decision making. For this analysis and inspection, the movement data needs to be put into the context of environmental data, which helps to interpret the behaviour. Thus, a major challenge is to design and develop methods and intuitive interfaces that integrate the data for analysis by biologists. We present a concept and implementation for the visual analysis of cheetah movement data in a web-based fashion that allows usage both in the field and in office environments.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690KLEIN, Karsten, Sabrina JAEGER, Jörg MELZHEIMER, Bettina WACHTER, Heribert HOFER, Artur BALTABAYEV, Falk SCHREIBER, 2021. Visual analytics of sensor movement data for cheetah behaviour analysis. In: Journal of Visualization. Springer. 2021, 24(4), pp. 807-825. ISSN 1343-8875. eISSN 1875-8975. Available under: doi: 10.1007/s12650-021-00742-6
BibTex
@article{Klein2021-08Visua-53004,
  year={2021},
  doi={10.1007/s12650-021-00742-6},
  title={Visual analytics of sensor movement data for cheetah behaviour analysis},
  number={4},
  volume={24},
  issn={1343-8875},
  journal={Journal of Visualization},
  pages={807--825},
  author={Klein, Karsten and Jaeger, Sabrina and Melzheimer, Jörg and Wachter, Bettina and Hofer, Heribert and Baltabayev, Artur and Schreiber, Falk}
}
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/123456789/53004">
    <dc:contributor>Melzheimer, Jörg</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:issued>2021-08</dcterms:issued>
    <dc:contributor>Klein, Karsten</dc:contributor>
    <dc:creator>Baltabayev, Artur</dc:creator>
    <dc:creator>Melzheimer, Jörg</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:title>Visual analytics of sensor movement data for cheetah behaviour analysis</dcterms:title>
    <dc:contributor>Schreiber, Falk</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53004/1/Klein_2-qcbupfr1h2e50.pdf"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-02-26T08:31:08Z</dcterms:available>
    <dcterms:abstract xml:lang="eng">Current tracking technology such as GPS data loggers allows biologists to remotely collect large amounts of movement data for a large variety of species. Extending, and often replacing interpretation based on observation, the analysis of the collected data supports research on animal behaviour, on impact factors such as climate change and human intervention on the globe, as well as on conservation programs. However, this analysis is difficult, due to the nature of the research questions and the complexity of the data sets. It requires both automated analysis, for example, for the detection of behavioural patterns, and human inspection, for example, for interpretation, inclusion of previous knowledge, and for conclusions on future actions and decision making. For this analysis and inspection, the movement data needs to be put into the context of environmental data, which helps to interpret the behaviour. Thus, a major challenge is to design and develop methods and intuitive interfaces that integrate the data for analysis by biologists. We present a concept and implementation for the visual analysis of cheetah movement data in a web-based fashion that allows usage both in the field and in office environments.</dcterms:abstract>
    <dc:contributor>Wachter, Bettina</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53004"/>
    <dc:creator>Klein, Karsten</dc:creator>
    <dc:creator>Hofer, Heribert</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/53004/1/Klein_2-qcbupfr1h2e50.pdf"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-02-26T08:31:08Z</dc:date>
    <dc:language>eng</dc:language>
    <dc:creator>Jaeger, Sabrina</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Hofer, Heribert</dc:contributor>
    <dc:contributor>Jaeger, Sabrina</dc:contributor>
    <dc:creator>Wachter, Bettina</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:creator>Schreiber, Falk</dc:creator>
    <dc:contributor>Baltabayev, Artur</dc:contributor>
  </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
Ja
Begutachtet
Ja
Diese Publikation teilen