39 citations · 117 across the 4 of their papers we have counts for
6 papers
Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network
Jinmeng Rao, Song Gao, Michelle Miller +1
Quantifying the resilience in the food system is important for food security issues. In this work, we present a geospatial knowledge graph (GeoKG)-based method for measuring the re…
STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity
Yuhao Kang, Kunlin Wu, Song Gao +5
Spatial clustering has been widely used for spatial data mining and knowledge discovery. An ideal multivariate spatial clustering should consider both spatial contiguity and aspati…
Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic
Yuhao Kang, Song Gao, Yunlei Liang +3
Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical intervention…
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
Jinmeng Rao, Song Gao, Yuhao Kang +1
The prevalence of location-based services contributes to the explosive growth of individual-level trajectory data and raises public concerns about privacy issues. In this research,…
Mapping county-level mobility pattern changes in the United States in response to COVID-19
Song Gao, Jinmeng Rao, Yuhao Kang +2
To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission r…
Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic
Song Gao, Jinmeng Rao, Yuhao Kang +7
The emergence of SARS-CoV-2 and the coronavirus infectious disease (COVID-19) has become a pandemic. Social (physical) distancing is a key non-pharmacologic control measure to redu…