This chapter explores the creation and use of image plots for visualizing cultural datasets, specifically using images as data points to convey insights such as patterns, trends, or relationships. The process involves extracting image attributes like brightness, RGB values, and HSV values, and positioning images on a two-dimensional plot based on these features. This chapter provides a step-by-step guide to calculating these values and generating image plots using R. Examples include analyzing photographs, revealing patterns like the emergence of black-and-white photography or sepia tones over time.

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Case Study 4: Image Plot

  • Harald Klinke

摘要

This chapter explores the creation and use of image plots for visualizing cultural datasets, specifically using images as data points to convey insights such as patterns, trends, or relationships. The process involves extracting image attributes like brightness, RGB values, and HSV values, and positioning images on a two-dimensional plot based on these features. This chapter provides a step-by-step guide to calculating these values and generating image plots using R. Examples include analyzing photographs, revealing patterns like the emergence of black-and-white photography or sepia tones over time.