Abstract
Today, numerous segregation measures have been proposed, partly reflecting the multi-facet or multi-dimensional nature of segregation, but also the fact that we have different opinions of what segregation entails. Despite many spatial measures have been introduced, approaches to spatialize segregation measures are limited to a few. Therefore, this chapter reflects systemically upon how space was (re)introduced into measuring segregation from multiple fronts. After summarizing the lines of discussion on the dimensions of segregation, the practice of cluster determination using spatial autocorrelation/association measures and their relationships with segregation along the spatial dimension will be critically reviewed. The objective is to identify the critical elements that form the foundation of measuring spatial segregation to be used to develop meaningful spatial segregation measures in the future or to evaluate if a particular spatial measure is effective in capturing the essence of segregation. Thus, using these fundamental characteristics, this chapter also provides an assessment of the state of measuring spatial segregation. Early development of segregation measures was partly driven by the availability of census data. The chapter also assesses new challenges, in particular due to the increasing importance of survey data such as the ACS. On the other hand, individual-level data are becoming more accessible. Distances between individuals may play a more important role in measuring segregation in the future. A brief example of distance-based measure is provided at the end of the chapter.
Keywords
- Spatial Autocorrelation
- American Community Survey
- Areal Unit
- Volunteer Geographic Information
- Spatial Measure
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Wong, D.W. (2016). From Aspatial to Spatial, from Global to Local and Individual: Are We on the Right Track to Spatialize Segregation Measures?. In: Howell, F., Porter, J., Matthews, S. (eds) Recapturing Space: New Middle-Range Theory in Spatial Demography. Spatial Demography Book Series, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-22810-5_5
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