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The role of socioeconomic and climatic factors in the spatio-temporal variation of human rabies in China
Spatiotemporal evaluation of the built environment's impact on commuting duration
Spatio-temporal prediction of the COVID-19 pandemic in US counties : modeling with a deep LSTM neural network
Public perceptions of COVID-19 vaccines : policy implications from us spatiotemporal sentiment analytics
Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Measuring relative opinion from location-based social media : a case study of the 2016 US presidential election
Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
Machine learning of spatial data
Impact of SARS-CoV-2 vaccination of children ages 5-11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021-March 2022 : A multi-model study
Heterogeneous crowd-sourced data analytics
Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
Densification without growth management? Evidence from local land development and housing trends in Charlotte, North Carolina, USA
COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
Boosting computational effectiveness in big spatial flow data analysis with intelligent data reduction
Associations between COVID-19 pandemic, lockdown measures and human mobility : longitudinal evidence from 86 countries
Accounting for residential propagule pressure improves prediction of urban plant invasion
A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence