Article-Journal

Learning visual features from figure-ground maps for urban morphology discovery
Most studies of urban morphology rely on morphometrics, such as building area and street length. However, these methods often fall …
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Learning visual features from figure-ground maps for urban morphology discovery
Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the …
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Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery
The well-being of residents is considerably influenced by the quality of their environment. However, due to the lack of large-scale …
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Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
This paper describes a dataset collected by infrared thermography, a non-contact, non-intrusive technique to acquire data and analyze …
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District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses
Urban network analytics has become an essential tool for understanding and modeling the intricate complexity of cities. We introduce …
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A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses
Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Urban road networks (URNs) are ubiquitous and essential components of cities. Visually, they present diverse patterns that embody …
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Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Explainable spatially explicit geospatial artificial intelligence in urban analytics
Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph neural networks (GNNs) have become one of …
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Explainable spatially explicit geospatial artificial intelligence in urban analytics
Urbanity: automated modelling and analysis of multidimensional networks in cities
Urban networks play a vital role in connecting multiple urban components and developing our understanding of cities and urban systems. …
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Urbanity: automated modelling and analysis of multidimensional networks in cities
Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor (SVF) and Green View Index (GVI), but (1) …
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Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Insights in a city through the eyes of Airbnb reviews: Sensing urban characteristics from homestay guest experiences
There is a growing interest in deriving insights about cities from crowdsourced data. We advance the discourse by employing homestay …
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Insights in a city through the eyes of Airbnb reviews: Sensing urban characteristics from homestay guest experiences