Figures & data
![Figure 1. Percentage of total cancer cases within each ZCTA for (a) African American, (b) Caucasian, (c) other, and (d) unknown race.](/cms/asset/a7ec1020-06b4-4d74-8d80-7e3e9105632d/uspp_a_913512_f0001_c.jpg)
![Figure 2. Spatial log relative risks ρz∣r for (a) African American, (b) Caucasian, (c) Other, and (d) unknown race. The black solid lines indicate a wombling boundary (i.e., regions of high rates of change).](/cms/asset/29f43e74-b07e-4f14-8275-9d439f8774dc/uspp_a_913512_f0002_c.jpg)
Table 1. ZCTA number for the 10 largest posterior means of ρz∣r by race
Table 2. Posterior summary of the coefficients β1 (median income; MI), β2 (percent in poverty; PP), and β3 (percent of homes built prior to 1990; <1990) for each race
![Figure 3. Posterior distribution of the temporal intensity of cancer cases () for y ∈ {2000, …, 2010}. The dashed lines are 95% credible interval limits. The vertical dotted line indicates a wombling boundary between 2005 and 2006.](/cms/asset/b088e642-c85e-414b-8c2a-35914efbb26c/uspp_a_913512_f0003_b.gif)
![Figure 4. Posterior distribution of the age intensity of cancer cases () for (a) African American (b) Caucasian, (c) “other,” and (d) unknown race. The dashed lines are 95% credible interval limits. The vertical dotted lines indicate wombling boundaries.](/cms/asset/acaaddf6-21cb-4c10-98f8-ac3b2808b5d9/uspp_a_913512_f0004_b.gif)