Visualization Atlases: Explaining and Exploring Complex Topics through Data, Visualization, and Narration
<|reference_start|>Visualization Atlases: Explaining and Exploring Complex Topics through Data, Visualization, and Narration: This paper defines, analyzes, and discusses the emerging genre of visualization atlases. We currently witness an increase in web-based, data-driven initiatives that call themselves "atlases" while explaining complex, contemporary issues through data and visualizations: climate change, sustainability, AI, or cultural discoveries. To understand this emerging genre and inform their design, study, and authoring support, we conducted a systematic analysis of 33 visualization atlases and semi-structured interviews with eight visualization atlas creators. Based on our results, we contribute (1) a definition of a visualization atlas as a compendium of (web) pages aimed at explaining and supporting exploration of data about a dedicated topic through data, visualizations and narration. (2) a set of design patterns of 8 design dimensions, (3) insights into the atlas creation from interviews and (4) the definition of 5 visualization atlas genres. We found that visualization atlases are unique in the way they combine i) exploratory visualization, ii) narrative elements from data-driven storytelling and iii) structured navigation mechanisms. They target a wide range of audiences with different levels of domain knowledge, acting as tools for study, communication, and discovery. We conclude with a discussion of current design practices and emerging questions around the ethics and potential real-world impact of visualization atlases, aimed to inform the design and study of visualization atlases.<|reference_end|>
@article{wang2024visualization,
    title={Visualization Atlases: Explaining and Exploring Complex Topics through
  Data, Visualization, and Narration},
    author={Jinrui Wang, Xinhuan Shu, Benjamin Bach, Uta Hinrichs},
    journal={arXiv preprint arXiv:2408.07483},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.07483},
    primaryClass={cs.HC}
}