Abstract This study empirically compares multiple eXplainable Artificial Intelligence (XAI) techniques to interpret short-term (weekly) machine learning-based burglary predictions at the micro-place level in Ghent. Belgium. While previous research predominantly relies on SHAP to interpret spatiotemporal crime predictions. this is the first study to systematically evaluate SHAP alongsi... https://vesaers.shop/product-category/collections/