Applying visual analytics to explore and analyze movement data

Cakmak, Eren; Gärtner, Alexander; Hepp, Thomas; Buchmüller, Juri F.; Fischer, Fabian; Keim, Daniel A.

Applying visual analytics to explore and analyze movement data

Dateien

Cakmak_2-1e4h27rpg1np39.pdfGröße: 313.18 KBDownloads: 351

Datum

2015

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

CHEN, Min, ed. and others. 2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015. Piscataway, NJ: IEEE, 2015, pp. 127-128. ISBN 978-1-4673-9783-4. Available under: doi: 10.1109/VAST.2015.7347643

Zusammenfassung

The VAST Challenge 2015 movement dataset is mirroring current challenges in the analysis of large spatiotemporal datasets. We present a tool featuring different exploratory approaches analyze and visualize spatiotemporal data to build and confirm hypotheses. Our tool helps the user to find patterns, anomalies and groups in a data set that can not be processed manually. We present custom visualizations to solve the tasks stated by the VAST 2015 Mini-Challenge (MC1).

Fachgebiet (DDC)

004 Informatik

Konferenz

IEEE Conference on Visual Analytics Science and Technology (VAST), 25. Okt. 2015 - 30. Okt. 2015, Chicago, IL, USA

Zitieren

ISO 690

CAKMAK, Eren, Alexander GÄRTNER, Thomas HEPP, Juri F. BUCHMÜLLER, Fabian FISCHER, Daniel A. KEIM, 2015. Applying visual analytics to explore and analyze movement data. IEEE Conference on Visual Analytics Science and Technology (VAST). Chicago, IL, USA, 25. Okt. 2015 - 30. Okt. 2015. In: CHEN, Min, ed. and others. 2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015. Piscataway, NJ: IEEE, 2015, pp. 127-128. ISBN 978-1-4673-9783-4. Available under: doi: 10.1109/VAST.2015.7347643

BibTex

@inproceedings{Cakmak2015-10Apply-33497,
  year={2015},
  doi={10.1109/VAST.2015.7347643},
  title={Applying visual analytics to explore and analyze movement data},
  isbn={978-1-4673-9783-4},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2015 IEEE Conference on Visual Analytics Science and Technology : Proceedings : Chicago, Illinois, USA, 25-30 October 2015},
  pages={127--128},
  editor={Chen, Min},
  author={Cakmak, Eren and Gärtner, Alexander and Hepp, Thomas and Buchmüller, Juri F. and Fischer, Fabian and Keim, Daniel A.}
}

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Universitätsbibliographie

Ja