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Beyond global metrics: A geographically weighted framework for exploring multi-source spatial data validation

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Modelling spatio-temporal distribution of urban population - A high-resolution model for German cities

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Uncovering merging and joining as urban expansion processes

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Generative AI and causal-spatial modeling for understanding nighttime pedestrian risk in urban systems

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Delineating urban development boundaries in urban agglomeration: Integrating flow-based approach and U-Net deep learning

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Co-occurrence network analysis of urban acoustic environments: Structural archetypes and perceived quality

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On predicting sociodemographics from mobility signals

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Enhancing geo-localization for crowdsourced flood imagery via LLM-guided attention

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Improving the spatial distribution of secondary activities in synthetic populations through guidance forces

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A large language model framework for urban perception mapping: Linking greenspace patterns and park attractiveness across the pandemic

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From seismic signals to urban sensing: Leveraging ambient seismic noise to sense human activity disruptions in extreme weather events

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A holistic approach to multi-scale and multi-perspective urban digital twin development

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A digital twin framework for decision-support and optimization of EV charging infrastructure in localized urban systems

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Does weather matter? Examining measurement bias in street view image-based urban perception assessments

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Causal discovery in urban data with temporal empirical dynamic modeling: The R package tEDM

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A tree location optimization via metamodel-based simulation framework for mitigating extreme heat in communities

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Fine-grained urban land use simulation: Integrating spatial dynamic modeling with a pre-trained vision-language model

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Forging EMPIRE: A data-driven agent-based model for scenario-based generalizability in spatio-temporal human behavior modeling

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