Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration

@article{Wagner2020EvaluatingAI,
  title={Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration},
  author={Jorge Wagner and Wolfgang Stuerzlinger and Luciana Porcher Nedel},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2020},
  volume={26},
  pages={514-524}
}
A Space-Time Cube enables analysts to clearly observe spatio-temporal features in movement trajectory datasets in geovisualization. However, its general usability is impacted by a lack of depth cues, a reported steep learning curve, and the requirement for efficient 3D navigation. In this work, we investigate a Space-Time Cube in the Immersive Analytics domain. Based on a review of previous work and selecting an appropriate exploration metaphor, we built a prototype environment where the cube… 
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