Temporal-VCA: Simulating urban land use change using coupled temporal data and VCA
Title: Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata
Title: Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata
Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities
Urbanization-induced land cover changes significantly impact ecological environments and socioeconomic growth. Vector-based cellular automata
Title:Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural networkAbstract
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
Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China
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