Graph-Split Bayesian Causal Forest for Spatial Heterogeneous Treatment Effect Estimation

In spatial observational studies, treatment assignment and outcomes often exhibit spatial dependence patterns, and treatment effects may vary across space and subpopulations due to both measured and unmeasured spatially structured confounders.