Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 2
Proc. Int. Cartogr. Assoc., 2, 145, 2019
https://doi.org/10.5194/ica-proc-2-145-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 2, 145, 2019
https://doi.org/10.5194/ica-proc-2-145-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  10 Jul 2019

10 Jul 2019

Creating and evaluating web-based visualizations of multi-dimensional spatiotemporal data

Jan Wilkening1, Keni Han2, and Mathias Jahnke2 Jan Wilkening et al.
  • 1Esri Deutschland GmbH, Germany
  • 2TU München, Germany

Keywords: spatio-temporal data, geovisualization, empirical evaluation

Abstract. In this article, we present a method for visualizing multi-dimensional spatio-temporal data in an interactive web-based geovisualization. Our case study focuses on publicly available weather data in Germany. After processing the data with Python and desktop GIS, we integrated the data as web services in a browser-based application. This application displays several weather parameters with different types of visualisations, such as static maps, animated maps and charts. The usability of the web-based geovisualization was evaluated with a free-examination and a goal-directed task, using eye-tracking analysis. The evaluation focused on the question how people use static maps, animated maps and charts, dependent on different tasks. The results suggest that visualization elements such as animated maps, static maps and charts are particularly useful for certain types of tasks, and that more answering time correlates with less accurate answers.

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