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The State of Trajectory Visualization in Notebook Environments

    Anita Graser

GI_Forum 2022, Volume 10, Issue 2, pp. 73-91, 2022/12/21

doi: 10.1553/giscience2022_02_s73

doi: 10.1553/giscience2022_02_s73


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doi:10.1553/giscience2022_02_s73



doi:10.1553/giscience2022_02_s73

Abstract

Gaining insights from trajectory datasets is a challenging task that requires suitable visual data representations. There is a considerable gap between the state-of-the-art cartographic techniques presented in the literature and currently available spatial data science toolboxes. This review paper presents the current state of geospatial visualization tools for trajectory data, focusing on the Python and Jupyter notebooks ecosystem. The shortcomings identified provide pointers for further scientific software development, as well as a reference for data scientists in choosing the best-fitting tool for a specific job.

Keywords: trajectories, movement data analysis, visual analysis, exploratory data analysis