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STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19
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STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19 (2023)STORM-GAN+: spatio-temporal meta-GAN for …STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19 (2022)STORM-GAN: Spatio-Temporal Me…Transfer Urban Human Mobility via POI Embedding over Multiple Cities (2021)Transfer Urban Human Mobility…Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)Multiscale dynamic human mobi…Mapping county-level mobility pattern changes in the United States in response to COVID-19 (2020)Mapping county-level mobility…COVID-GAN (2020)COVID-GANA History of the Concept of Spatial Autocorrelation: A Geographer's Perspective (2008)A History of the Concept of S…Spatial Econometrics: Methods and Models (1988)STATISTICS FOR SPATIAL DATA (1992)Local Indicators of Spatial Association—LISA (1995)Spatial autocorrelation: an overlooked concept in behavioral ecology (2010)Exploring the use of mobile phone data for national migration statistics (2019)An analytical process of spatial autocorrelation functions based on Moran’s index (2021)Understanding individual human mobility patterns (2008)A universal model for mobility and migration patterns (2012)Human mobility: Models and applications (2018)A Deep Gravity model for mobility flows generation (2021)A Survey on Deep Learning for Human Mobility (2021)Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)Mapping county-level mobility pattern changes in the United States in response to COVID-19 (2020)Does the COVID-19 Pandemic Change Human Mobility Equally Worldwide? Cross-Country Cluster Analysis (2021)Leveraging Administrative Data for Bias Audits (2021)Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement (2024)Discovering regions of different functions in a city using human mobility and POIs (2012)Human mobility modeling at metropolitan scales (2012)Regularity and Conformity (2015)GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training (2023)Exploring human mobility: a time-informed approach to pattern mining and sequence similarity (2024)Understanding urban traffic flows in response to COVID-19 pandemic with emerging urban big data in Glasgow (2024)Aggregated mobility data could help fight COVID-19 (2020)COVID-19: Challenges to GIS with Big Data (2020)Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Twitter reveals human mobility dynamics during the COVID-19 pandemic (2020)The Geospatial Generalization Problem: When Mobility Isn't Mobile (2023)Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction (2024)The Evolution of Geospatial Artificial Intelligence (2025)
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References

  • 2008A History of the Concept of Spatial Autocorrelation: A Geographer's Perspective436 cited
  • 2020Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic270 cited
  • 2020Mapping county-level mobility pattern changes in the United States in response to COVID-19229 cited
  • 2021Transfer Urban Human Mobility via POI Embedding over Multiple Cities45 cited
  • 2020COVID-GAN35 cited
  • 2022STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-198 cited

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