LandGPT: Multi-modal model for parcel land use classification using multi-source data
Title: LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data
Title: LandGPT: a multimodal large language model for parcel-level land use classification with multi-source data
Title: A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks
Title: MSLU-100K: A Large Multi-Source Dataset for Land Use Analysis in Major Chinese Cities
Title: Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Title: Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Title: Explainable mapping of the irregular land use parcel with a data fusion deep learning model
Title: A Framework for Exploring “Transfer-Out” Land Parcels for Urban Development Under the Ecological Control Line (ECL) Policy in China
Title: Individual mobility prediction by considering current traveling features and historical activity chain
Title: Urban sensing in the era of large language models
Title: Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data