caa a22 4500 60554090X CHVBK 20210128100913.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00371-015-1112-0 doi (NATIONALLICENCE)springer-10.1007/s00371-015-1112-0 TimeClassifier: a visual analytic system for the classification of multi-dimensional time series data [Elektronische Daten] [James Walker, Mark W. Jones, Robert Laramee, Owen Bidder, Hannah Williams, Rebecca Scott, Emily Shepard, Rory Wilson] Biologists studying animals in their natural environment are increasingly using sensors such as accelerometers in animal-attached ‘smart' tags because it is widely acknowledged that this approach can enhance the understanding of ecological and behavioural processes. The potential of such tags is tempered by the difficulty of extracting animal behaviour from the sensors which is currently primarily dependent on the manual inspection of multiple time series graphs. This is time consuming and error-prone for the domain expert and is now the limiting factor for realising the value of tags in this area. We introduce TimeClassifier, a visual analytic system for the classification of time series data for movement ecologists. We deploy our system with biologists and report two real-world case studies of its use. Springer-Verlag Berlin Heidelberg, 2015 Visual analytics nationallicence Time series analysis nationallicence Movement ecology nationallicence Walker James Department of Computer Science, Swansea University, SA2 8PP, Swansea, UK aut Jones Mark W. Department of Computer Science, Swansea University, SA2 8PP, Swansea, UK aut Laramee Robert Department of Computer Science, Swansea University, SA2 8PP, Swansea, UK aut Bidder Owen Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut Williams Hannah Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut Scott Rebecca The Future Ocean Cluster of Excellence, GEOMAR|Helmholtz Center for Ocean Research Kiel, Düsternbrookerweg 20, 24105, Kiel, Germany aut Shepard Emily Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut Wilson Rory Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 1067-1078 0178-2789 31:6-8<1067 2015 31 371 https://doi.org/10.1007/s00371-015-1112-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-015-1112-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Walker James Department of Computer Science, Swansea University, SA2 8PP, Swansea, UK aut NATIONALLICENCE 700 1- Jones Mark W. Department of Computer Science, Swansea University, SA2 8PP, Swansea, UK aut NATIONALLICENCE 700 1- Laramee Robert Department of Computer Science, Swansea University, SA2 8PP, Swansea, UK aut NATIONALLICENCE 700 1- Bidder Owen Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut NATIONALLICENCE 700 1- Williams Hannah Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut NATIONALLICENCE 700 1- Scott Rebecca The Future Ocean Cluster of Excellence, GEOMAR|Helmholtz Center for Ocean Research Kiel, Düsternbrookerweg 20, 24105, Kiel, Germany aut NATIONALLICENCE 700 1- Shepard Emily Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut NATIONALLICENCE 700 1- Wilson Rory Swansea Lab for Animal Movement, Biosciences, College of Science, Swansea University, SA2 8PP, Swansea, UK aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/6-8(2015-06-01), 1067-1078 0178-2789 31:6-8<1067 2015 31 371