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Fig. 6 | International Journal of Health Geographics

Fig. 6

From: Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference

Fig. 6

Spatial representation of the predicted values for select models, and a breakdown of the log-relative risk into the main components which comprise it: the structured and unstructured spatial random effects and the area-specific covariate effect, i.e. \(\beta x_{i}\). The values are the posterior means. Aside from the plots for the predicted values, the shadings are consistent across all the plots, and the legend shows the range of values for the specific parameter

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