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ST-Crime: A Retrieval Augmented Pre-trained Foundation Model for Environment-Dependent Crime Spatio-Temporal Prediction
WANG Tao, ZHANG Yifan, CHEN Peng
Journal of Geo-information Science
, 2026, 28(
1
): 209-221. DOI:
10.12082/dqxxkx.2026.250448
Fig. 5
Parameter sensitivity analysis
Other figure/table from this article
Fig. 1
The overall architecture of ST-Crime
Fig. 2
The specific construction process of crime tensor
Fig. 3
Adaptive graph learning
Tab. 1
Statistical information of the datasets
Tab. 2
Examples of the crime data
Tab. 3
Models introduction
Tab. 4
Prediction performance with sufficient training samples
Fig. 4
Prediction performance for different crime types
Tab. 5
Few-shot and zero-shot inference performance
Fig. 6
Ablation studies
