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  1. Home
  3. Visualization Atlases: Explaining And Exploring Complex Topics Through Data, Visualization, And Narration.
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  3. Visualization Atlases: Explaining And Exploring Complex Topics Through Data, Visualization, And Narration.

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Visualization Atlases: Explaining and Exploring Complex Topics Through Data, Visualization, and Narration.

Jinrui Wang, Xinhuan Shu, Benjamin Bach

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    Summary
    This summary is machine-generated.

    This study defines visualization atlases, web-based collections explaining complex topics with data and visuals. They uniquely blend exploration, narrative, and navigation for diverse audiences.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Digital Humanities

    Background:

    • The proliferation of web-based, data-driven initiatives labeled as 'atlases' necessitates a formal understanding.
    • These initiatives address complex contemporary issues like climate change, AI, and cultural discoveries.

    Purpose of the Study:

    • To define and analyze the emerging genre of visualization atlases.
    • To inform the design, study, and authoring support of these atlases.

    Main Methods:

    • Systematic analysis of 33 visualization atlases.
    • Semi-structured interviews with 8 visualization atlas creators.

    Main Results:

    • A definition of visualization atlases as compendiums of web pages for data exploration via visualizations and narration.
  • Identification of 8 design patterns across 8 dimensions.
  • Categorization into 5 distinct visualization atlas genres.
  • Insights into the creation process.

    • Conclusions:

    • Visualization atlases uniquely integrate exploratory visualization, data-driven storytelling, and structured navigation.
    • They serve as versatile tools for study, communication, and discovery across various audience knowledge levels.
    • Discussion on design practices, ethics, and real-world impact is crucial for future development.