Title：Predicting the locations of missing persons in China by using NGO data and deep learning techniquesAbstractMissing person crimes can seriously a
Fine-grained regional economic forecasting for a megacity using vector-based cellular automata
Title: Evaluating geospatial context information for travel mode detection
Title: Extracting the pickpocketing information implied in the built environment by treating it as the anomaliesAbstractThe practice of crime risk map
Unsupervised land-use change detection using multi-temporal POI embedding
Title: Incorporating multimodal context information into traffic speed forecasting through graph deep learning
Title: Street-level traffic flow and context sensing analysis through semantic integration of multisource geospatial data
A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data
Title: Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism
Trackintel: An open-source Python library for human mobility analysis
UrbanComp