The article introduces a new method to choose the best model for studying spatial patterns in Germany. This method is more flexible than previous ones because it considers both how regions are connected and how they differ from each other. By using Bayesian and Maximum-Likelihood methods, the researchers found that spatial differences are important when studying knowledge sharing between German regions. This means that taking into account both spatial connections and regional variations can help us better understand how knowledge spreads between different areas in Germany.