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(1 - 20 of 21)
Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Boosting computational effectiveness in big spatial flow data analysis with intelligent data reduction
A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
Measuring relative opinion from location-based social media : a case study of the 2016 US presidential election
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
Predicting the upcoming services of vacant taxis near fixed locations using taxi trajectories
Heterogeneous crowd-sourced data analytics
Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
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
COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
Machine learning of spatial data
Accounting for residential propagule pressure improves prediction of urban plant invasion
Associations between COVID-19 pandemic, lockdown measures and human mobility : longitudinal evidence from 86 countries
Public perceptions of COVID-19 vaccines : policy implications from us spatiotemporal sentiment analytics
The role of socioeconomic and climatic factors in the spatio-temporal variation of human rabies in China
Densification without growth management? Evidence from local land development and housing trends in Charlotte, North Carolina, USA
Spatial analytics based on confidential data for strategic planning in urban health departments
Effect of privatization and inland infrastructural development on India's container port selection dynamics