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.

中文翻译：

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从精细数据中揭示多尺度隔离的影响：以巴黎两个社区为例

精细数据对于分析多标量偏析现象特别重要。我们使用欧盟数据挑战中的分类数据，在此展示了如何应用一种最新开发的方法，该方法可以在多个尺度上测量隔离度，并提供跨规模和空间隔离度的可视化效果。我们以巴黎市的两组移民为例，说明了该技术。