• DocumentCode
    3705584
  • Title

    Applying visual analytics to explore and analyze movement data

  • Author

    Eren Cakmak;Alexander G?rtner;Thomas Hepp;Juri Buchm?ller;Fabian Fischer;Daniel A. Keim

  • Author_Institution
    Data Analysis and Visualization Group, University of Konstanz, Germany
  • fYear
    2015
  • Firstpage
    127
  • Lastpage
    128
  • Abstract
    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).
  • Keywords
    "Data visualization","Heating","Visual analytics","Image color analysis","Spatiotemporal phenomena","Databases","Time series analysis"
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/VAST.2015.7347643
  • Filename
    7347643
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3705584