Article-Journal

Vision2Slope: estimating urban road slopes with street view imagery
Road slopes shape mobility patterns and drive the reliability of urban simulations. Yet in most cities, road-level slope information …
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Vision2Slope: estimating urban road slopes with street view imagery
Advancing sustainable geospatial analytics and geoinformatics through repeatable, reproducible, and expandable (RRE) framework and design
In the era of data-intensive science, the complexity and volume of geospatial data have grown exponentially. Compared to traditional …
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Advancing sustainable geospatial analytics and geoinformatics through repeatable, reproducible, and expandable (RRE) framework and design
It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities
Quantifying and assessing urban greenery is consequential for planning and development, reflecting the everlasting importance of green …
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It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities
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