Table 3 displays the distribution of metropolitan areas, tracts, total population, and racial/ethnic groups by three segregation categories (moderate/low, highly, or extremely segregated).
For point-source emissions alone, the gradient across segregation categories was not observed (data not shown).
Figure 2 shows the racial/ethnic distribution of estimated cancer risk associated with air toxics across segregation categories.
We calculated a descriptive statistic, population risk index (PRI), to assess potential environmental inequities across race/ethnicity, poverty level, and segregation categories.
The data points to the left are average cancer risk estimates for each racial/ethnic group for all segregation categories combined.
Female immigrants are potentially exposed to both intrinsic productivity differences and segregation into categories with lower productivity, again suggesting lower pay or, in the case of wages below marginal products, a risk of "double discrimination" for this group.
Instead, these other methods attempt to explain how segregation varies between categories by, say, producing a graph of segregation versus category [11], [12].
Usually, the particle size analysis results are graphically presented using a particle size distribution (PSD) plot to characterize the process of particle segregation into predefined categories (Hyslip and Vallejo 1997).
We relax this assumption and examine a case where there is perfect segregation by weight categories.
In a biological context, the fact that perfect segregation of cluster categories is not observed is unsurprising, as one would expect some degree of overlap associated with progression or relatedness of different cell types.
