Revealing Multiscale Segregation Effects from Fine-Scale Data: A Case Study of Two Communities in Paris

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2020-07-13 DOI:10.1007/s40980-020-00065-4

Madalina Olteanu, Cecile de Bezenac, William Clark, Julien Randon-Furling

引用次数: 1

Abstract

Fine-scale data is particularly important for the analysis of multiscalar segregation phenomena. Using dis-aggregated data from an EU data challenge, we show here how to apply a recently developed method that measures segregation at multiple scales and provides a visualization of the levels of segregation across scale and space. We illustrate the technique with results for two groups of citizen migrants in the city of Paris.

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从精细尺度数据揭示多尺度隔离效应:以巴黎两个社区为例

精细尺度数据对于多标量偏析现象的分析尤为重要。使用来自欧盟数据挑战的分解数据，我们在这里展示了如何应用最近开发的方法，该方法可以在多个尺度上测量隔离，并提供跨尺度和空间的隔离水平的可视化。我们用巴黎市两组公民移民的结果来说明这种技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.