LandGPT: A Multimodal LLM 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: 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: Is perceived safety a prerequisite for the relationship between green space availability, and the use and perceived comfort of green space?
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: Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives
Title: Automated external defibrillator location selection considering myocardial infarction risk and medical resources
Title: DCAI-CLUD: a data-centric framework for the construction of land-use datasets
Title: Exploring the pathways linking visual green space to depression in older adults in Shanghai, China: using street view data