Joint modeling of spatially oriented dependent variables is commonplace in the environmental sciences, where scientists seek to estimate relationships among a set outcomes accounting for dependence these and spatial each outcome. Such now sought massive data sets with measured at very large number locations. Bayesian inference, while attractive accommodating uncertainties through hierarchical s...