Unpacking spatial dependence: a new experimental design for spatial autoregressive simulation
Simulating spatial patterns with varying levels of spatial autocorrelation is essential for evaluating models, estimators, and diagnostics. The spatial autoregressive (SAR) process is widely used for this purpose, but its main parameter affects both spatial autocorrelation and spatial heterogeneity. Only the former is...