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STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
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STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19 (2022)STORM-GAN: Spatio-Temporal Meta-GAN for C…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…Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction (2024)Cross- and Context-Aware Atte…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)Aggregated mobility data could help fight COVID-19 (2020)COVID-19: Challenges to GIS with Big Data (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)A mixed-methods analysis of mobility behavior changes in the COVID-19 era in a rural case study (2021)Changes in mobility and socioeconomic conditions during the COVID-19 outbreak (2021)Revisiting the impacts of virtual mobility on travel behavior: An exploration of daily travel time expenditures (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)Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling (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)COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features (2022)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)DeepMove (2018)Learning to Simulate Human Mobility (2020)Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City (2021)
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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 epidemic259 cited
  • 2020Mapping county-level mobility pattern changes in the United States in response to COVID-19108 cited
  • 2021Transfer Urban Human Mobility via POI Embedding over Multiple Cities45 cited
  • 2020COVID-GAN35 cited

Cited by

  • 2024Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction6 cited

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