A Spatial Semantic-Guided Online Crime Spatiotemporal Prediction Model

Accurate crime spatiotemporal prediction is crucial for crime prevention. However, crime occurrences are influenced by diverse and interacting social factors, resulting in dynamically evolving distributions with non-stationarity and spatial heterogeneity. Most existing methods focus on data preproce...

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Bibliographic Details

Main Authors:	Huan Jiang, Miaoxuan Shan, Licheng Hao, Jinguang Sui, Peng Chen
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2026-07-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	spatiotemporal prediction online learning contrastive learning crime prediction
Online Access:	https://www.mdpi.com/2220-9964/15/8/340
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