San Francisco Crime Data

该数据集记录了2018年10月的前四周，在加利福尼亚州旧金山市每个交汇点500英尺范围内发生的犯罪数量。此外，该数据集被用于构建一个马尔可夫决策过程模型，以指导警方巡逻任务的分配。数据规模涵盖了35个交汇点。该数据集的任务是优化警力巡逻时间的资源配置，以最小化预期犯罪活动的奖励。

This dataset records the count of criminal incidents within a 500-foot radius of every intersection in San Francisco, California, during the first four weeks of October 2018. Furthermore, this dataset was employed to build a Markov Decision Process (MDP) model for guiding the allocation of police patrol duties. It encompasses 35 intersections in total. The core task associated with this dataset is to optimize the resource allocation of police patrol time, with the objective of minimizing the reward corresponding to expected criminal activities.