Fowler Christopher S
Assistant Professor of Geography, The Pennsylvania State University, 314 Walker Building, Univesity Park, PA 16802-5011.
Urban Geogr. 2016;37(1):1-25. doi: 10.1080/02723638.2015.1043775. Epub 2015 May 7.
Neighborhoods and neighborhood change are often at least implicitly understood in relation to processes taking place at scales both smaller than and larger than the neighborhood itself. Until recently our capacity to represent these multi-scalar processes with quantitative measures has been limited. Recent work on "segregation profiles" by Reardon and collaborators (Reardon et al., 2008, 2009) expands our capacity to explore the relationship between population measures and scale. With the methodological tools now available, we need a conceptual shift in how we view population measures in order to bring our theories and measures of neighborhoods into alignment. I argue that segregation can be beneficially viewed as ; not a value calculable at some 'correct' scale, but a continuous function with respect to scale. This shift requires new ways of thinking about and analyzing segregation with respect to scale that engage with the complexity of the multi-scalar measure. Using block level data for eight neighborhoods in Seattle, Washington I explore the implications of a multi-scalar segregation measure for understanding neighborhoods and neighborhood change from 1990 to 2010.
人们常常至少在隐含层面上，将社区及其变化与发生在比社区本身更小和更大尺度上的过程联系起来理解。直到最近，我们用定量方法来描述这些多尺度过程的能力一直有限。里尔登及其合作者（里尔登等人，2008年、2009年）最近关于“隔离概况”的研究扩展了我们探索人口指标与尺度之间关系的能力。有了现有的方法工具，我们需要在看待人口指标的方式上进行概念转变，以便使我们关于社区的理论和指标相互一致。我认为，可以有益地将隔离视为；不是在某个“正确”尺度上可计算的一个值，而是一个关于尺度的连续函数。这种转变需要有新的方式来思考和分析关于尺度的隔离，这种方式要考虑到多尺度测量的复杂性。利用华盛顿州西雅图市八个社区的街区层面数据，我探讨了多尺度隔离测量对于理解1990年至2010年期间社区及其变化的意义。
