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TEAMwISE : synchronised immersive environments for exploration and analysis of animal behaviour

TEAMwISE : synchronised immersive environments for exploration and analysis of animal behaviour

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KLEIN, Karsten, Michael AICHEM, Ying ZHANG, Stefan ERK, Björn SOMMER, Falk SCHREIBER, 2021. TEAMwISE : synchronised immersive environments for exploration and analysis of animal behaviour. In: Journal of Visualization. Springer. ISSN 1343-8875. eISSN 1875-8975. Available under: doi: 10.1007/s12650-021-00746-2

@article{Klein2021-03-07TEAMw-53148, title={TEAMwISE : synchronised immersive environments for exploration and analysis of animal behaviour}, year={2021}, doi={10.1007/s12650-021-00746-2}, issn={1343-8875}, journal={Journal of Visualization}, author={Klein, Karsten and Aichem, Michael and Zhang, Ying and Erk, Stefan and Sommer, Björn and Schreiber, Falk} }

<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/rdf/resource/123456789/53148"> <dc:contributor>Schreiber, Falk</dc:contributor> <dc:creator>Aichem, Michael</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dcterms:title>TEAMwISE : synchronised immersive environments for exploration and analysis of animal behaviour</dcterms:title> <dc:contributor>Zhang, Ying</dc:contributor> <dc:creator>Zhang, Ying</dc:creator> <dcterms:issued>2021-03-07</dcterms:issued> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53148"/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Klein, Karsten</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-16T12:39:14Z</dc:date> <dc:language>eng</dc:language> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Klein, Karsten</dc:contributor> <dc:creator>Erk, Stefan</dc:creator> <dc:creator>Sommer, Björn</dc:creator> <dc:contributor>Sommer, Björn</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-16T12:39:14Z</dcterms:available> <dc:contributor>Aichem, Michael</dc:contributor> <dcterms:abstract xml:lang="eng">The recent availability of affordable and lightweight tracking sensors allows researchers to collect large and complex movement data sets. To explore and analyse these data, applications are required that are capable of handling the data while providing an environment that enables the analyst(s) to focus on the task of investigating the movement in the context of the geographic environment it occurred in. We present an extensible, open-source framework for collaborative analysis of geospatial–temporal movement data with a use case in collective behaviour analysis. The framework TEAMwISE supports the concurrent usage of several program instances, allowing to have different perspectives on the same data in collocated or remote set-ups. The implementation can be deployed in a variety of immersive environments, for example, on a tiled display wall and mobile VR devices.</dcterms:abstract> <dc:contributor>Erk, Stefan</dc:contributor> <dc:rights>Attribution 4.0 International</dc:rights> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dc:creator>Schreiber, Falk</dc:creator> </rdf:Description> </rdf:RDF>

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