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Spatial approach to analyzing dynamics of racial diversity in large U.S. cities: 1990-2000-2010

机译:分析美国大城市种族多样性动态的空间方法:1990-2000-2010

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Over the last several decades large U.S. cities became increasingly racially diverse. Understanding spatio-temporal dynamics of this significant social change and identifying its broad trends are important for numerous stakeholders. High resolution population grids, which recently become available for the entire conterminous U.S. and for three time points from 1990 to 2010, are an ideal dataset for analyzing dynamics of racial diversity. Their value to diversity analysis has been already demonstrated at the level of the entire U.S. as well as at the level of an individual city. In this paper, we demonstrate their value for performing a survey aimed at synthesizing diversity dynamics from different cities in order to identify prevalent nationwide trends. Our survey consists of 41 large cities. 1990-2000-2010 snapshots of racial condition at each city are provided by respective grids in which each cell is assigned one of nine possible diversity/dominant race categories. All cells with the same diversity label constitute a zone which we refer to as community and measure using a percentage of a landscape (PLAND) and an aggregation index (AI) metrics. An inclusion of the AI metric makes possible to determine not only whether a given community grows or shrinks but also whether it's merging or fragmenting. We analyze the spatio-temporal evolution of communities by tracking changes in the pairs of the values of these metrics. To simplify we categorize these changes into eight categories resulting in 64 possible change trajectories for each community. Trajectories are histogrammed to reveal variety or scarcity of possible modes of change. Frequent trajectories are identified with broad trends. Eight such trends are identified, they represent most prevalent racial dynamics in the U.S. during the decades of 1990-2010. Two trends correspond to decay of whites dominated and blacks-dominated communities. The remaining six trends correspond to the expansion of Hispanics, Asian, and racially diverse communities. Trends do not show regional dependence, they truly reflect profound social change occurring across the entire U.S.
机译:在过去的几十年中,美国大城市的种族差异越来越大。了解这一重大社会变革的时空动态并确定其广泛的趋势对于众多利益相关者而言都是重要的。高分辨率的人口网格最近在整个美国范围内以及1990年至2010年的三个时间点都可用,是分析种族多样性动态的理想数据集。它们对多样性分析的价值已经在整个美国以及单个城市的层面得到了证明。在本文中,我们证明了它们在进行旨在综合来自不同城市的多样性动态以识别全国流行趋势的调查中的价值。我们的调查包括41个大城市。 1990-2000-2010年每个城市的种族状况快照由各自的网格提供,其中为每个单元分配了九种可能的多样性/主要种族类别之一。具有相同多样性标签的所有单元格都构成一个区域,我们将其称为社区,并使用景观百分比(PLAND)和聚集指数(AI)度量进行测量。包含AI指标不仅可以确定给定社区是增长还是萎缩,还可以确定它是合并还是分裂。我们通过跟踪这些指标值对的变化来分析社区的时空演变。为简化起见,我们将这些更改分为八类,从而为每个社区提供了64种可能的更改轨迹。对轨迹进行直方图显示,可以发现变化模式的多样性或稀缺性。经常出现的趋势具有广泛的趋势。确定了八种这样的趋势,它们代表了1990-2010年间美国最普遍的种族动态。两种趋势对应于白人占主导地位的社区和黑人占主导地位的社区的衰落。剩下的六个趋势与西班牙裔,亚洲和种族多样化社区的扩张相对应。趋势并未显示出地区依赖性,而是真正反映了整个美国正在发生的深刻社会变革。

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