Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 1
Proc. Int. Cartogr. Assoc., 1, 30, 2018
https://doi.org/10.5194/ica-proc-1-30-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 1, 30, 2018
https://doi.org/10.5194/ica-proc-1-30-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 May 2018

16 May 2018

Facilitating insights with a user adaptable dashboard, illustrated by airport connectivity data

Ieva Dobraja, Menno-Jan Kraak, and Yuri Engelhardt Ieva Dobraja et al.
  • Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente, Department of Geo-Information Processing, Enschede, The Netherlands

Keywords: Spatio-temporal movement data, global airline data, dashboard, question-driven exploration, adaptability

Abstract. Since the movement data exist, there have been approaches to collect and analyze them to get insights. This kind of data is often heterogeneous, multiscale and multi-temporal. Those interested in spatio-temporal patterns of movement data do not gain insights from textual descriptions. Therefore, visualization is required. As spatio-temporal movement data can be complex because size and characteristics, it is even challenging to create an overview of it. Plotting all the data on the screen will not be the solution as it likely will result into cluttered images where no data exploration is possible. To ensure that users will receive the information they are interested in, it is important to provide a graphical data representation environment where exploration to gain insights are possible not only in the overall level but at sub-levels as well. A dashboard would be a solution the representation of heterogeneous spatio- temporal data. It provides an overview and helps to unravel the complexity of data by splitting data in multiple data representation views. The adaptability of dashboard will help to reveal the information which cannot be seen in the overview.

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