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A multi-objective graph reinforcement learning framework for urban public facility location problem

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FlowsDT: A geospatial digital twin for navigating urban flood dynamics

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Beyond distance: A computational framework for route-based urban park accessibility

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Evaluating the contribution of city-wide street trees on PM2.5 removal based on Street View Imagery and computer vision technology

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Decoding urban soundscapes: spatial prediction and influence mechanism analysis with interpretable semi-supervised learning

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HoWDe: A validated algorithm for Home and Work location Detection

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A wildfire exposure risk assessment framework combining LLM and spatial-temporal knowledge hypergraphs

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Semantic data enrichment for maintenance of foundation spatial data

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Multi-frequency street-level urban noise modeling and mapping through street view and remote sensing image fusion

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Urban morphology as a proxy for housing and infrastructure inequality: A machine learning approach using open building footprint data

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High-resolution urban land use change modeling via sequential classifiers

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Why same datasets yield different environment–activity relationships? Hidden uncertainties in geospatial processing methods

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Thriving or surviving: Understanding the geography of financial precarity in Great Britain

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Geodemographics and residential differentiation: A methodological review and future directions for learned representations of the social landscape

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Digitally mediated accessibility: A metric combining human perception and generative AI

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Using mobile phone data for quantifying large-scale household-level disaster recovery

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Learning street view representations based on a spatiotemporal contrastive learning framework

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Designing and testing microtransit routes to improve social inclusion: A pilot study in a suburban area

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How well do street view images predict crime rates in London? A comparison with social and macro-level environmental features

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