A new generative framework has been developed to synthesize realistic human trajectory anomalies, addressing the lack of annotated datasets for spatial data mining. This approach utilizes Large Language Models to introduce meaningful behavioral anomalies while ensuring spatial validity through advanced routing techniques and noise modeling.