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Heterogeneous graph neural networks for building attribute prediction from hierarchical urban features and cross-view imagery
Data on building properties are essential for a variety of urban applications, yet such information remains scarce in many parts of the …
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Heterogeneous graph neural networks for building attribute prediction from hierarchical urban features and cross-view imagery
Street view imagery-based method for reconstructing 3D building façade openings
The availability of 3D building models has been increasing, but they often lack detail at the architectural scale. This paper presents …
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Street view imagery-based method for reconstructing 3D building façade openings
Visual determinants of outdoor thermal comfort: integrating explainable AI and perceptual assessments
Outdoor thermal comfort is a crucial determinant of urban space quality. While research has developed various heat indices, such as the …
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Visual determinants of outdoor thermal comfort: integrating explainable AI and perceptual assessments
Urban AI for a sustainable built environment: Progress and future directions
Urban areas stand at the forefront of the climate crisis, facing escalating environmental pressures, growing social inequalities, and …
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Urban AI for a sustainable built environment: Progress and future directions
BuildingMultiView: Powering multi-scale building characterization with large language models and Multi-perspective imagery
Buildings play a crucial role in shaping urban environments, influencing their physical, functional, and aesthetic characteristics. …
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BuildingMultiView: Powering multi-scale building characterization with large language models and Multi-perspective imagery
A graph neural network for small-area estimation: integrating spatial regularisation, heterogeneous spatial units, and Bayesian inference
Fine-resolution spatial analytics are essential for urban planning and policy-making, yet traditional small-area estimation often …
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A graph neural network for small-area estimation: integrating spatial regularisation, heterogeneous spatial units, and Bayesian inference
GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainability
Geospatial artificial intelligence (GeoAI) is reshaping our understanding of Earth and urban systems by integrating advanced artificial …
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GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainability
Enhancing urban digital twin interfaces to support thermal comfort planning
Urban Digital Twins (UDTs) integrate multilayered spatial data to support urban planning and climate adaptation efforts. Although UDTs …
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Enhancing urban digital twin interfaces to support thermal comfort planning
The Cool, Quiet City machine learning competition: Overview and results
The prediction of thermal and noise-based preferences in the urban context is valuable in characterizing interventions to mitigate the …
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The Cool, Quiet City machine learning competition: Overview and results
Walking the heat: why thermal walks matter for high resolution microclimate mapping
High-resolution microclimate maps are critical for advancing urban climate resilience strategies by providing detailed spatial insights …
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Walking the heat: why thermal walks matter for high resolution microclimate mapping