The paper provides numerical measures and visualizations of urban segregation based on a new index, the Distortion coefficient. Distortion coefficients are derived from trajectories of contact with the city’s population as an individual will encounter an increasing number of persons in a growing distance from their original location. They can be interpreted as measures of how different, or in technical terms, how distorted the view of the city is from any one location. In this paper, we present the theoretical rationale and the procedure leading to the computation of the Distortion coefficients. Through a detailed illustration using Chicago as a case study, we provide the general framework for analyzing and visualizing Distortion. We show that these measures are able to capture complex demographic changes over time and paint a more complete picture of segregation than indices based on imposed scales.

中文翻译：

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种族集中度模式的测量和可视化：失真系数的作用

本文提供了基于新指标失真系数的城市隔离的数值测量和可视化。失真系数来自与城市人口的接触轨迹，因为个人将在距离其原始位置越来越远的地方遇到越来越多的人。它们可以被解释为衡量从任何一个位置看城市景观的不同程度或技术术语的扭曲程度。在本文中，我们介绍了导致计算失真系数的理论原理和过程。通过使用芝加哥作为案例研究的详细说明，我们提供了分析和可视化失真的一般框架。