22. 可视化多样性:数据不足和符号学策略

John Wihbey, Sarah J. Jackson, P. M. Cruz, Foucault Welles
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引用次数: 1

摘要

本章探讨了涉及种族和身份问题的数据可视化实践所固有的复杂动态。我们专注于来自美国人口普查的数据,以及以视觉形式提出的旨在代表群体的深刻问题。在回顾了历史背景和相关的限制和争议之后,我们提出了一个项目,探索了一种新的方法来可视化美国移民模式,这种方法依赖于视觉隐喻和基于人口普查微数据大量采样的可视化模式的算法构建。本章建议,使用创新的表达技巧,通过诗意的形式,从而减少文字和限制形式来传达见解,是解决行政人口数据潜在缺陷的一种方式。
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22. Visualizing diversity: Data deficiencies and semiotic strategies
This chapter explores the complicated dynamics that are inherent to the practice of data visualization involving issues of race and identity. We focus on data from the US Census and the profound questions that are raised as visual forms purport to represent groups. After reviewing historical context and related limitations and controversies, we present a project that explores a novel approach to visualizing US immigration patterns, an approach that relies on visual metaphors and algorithmic construction of visualization patterns based on massive sampling of Census microdata. The chapter suggests that the use of innovative expressive techniques to convey insights through poetic, and thus less literal, and limiting, forms is a way of grappling with underlying deficiencies in administrative population data.
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