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Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
[HTML][HTML] Deep learning for urban land use category classification: A review and experimental assessment
Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …
valuable role in understanding urban environmental dynamics and facilitating sustainable …
Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use
Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …
restrictions in data accessibility and ethical concerns regarding potential data misuse have …
Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic
Understanding dynamic human mobility changes and spatial interaction patterns at different
geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions …
geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions …
Deep learning-based remote and social sensing data fusion for urban region function recognition
Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …
the complex socioeconomic nature of functional land use, recognizing urban region function …
Portraying the spatial dynamics of urban vibrancy using multisource urban big data
Understanding urban vibrancy aids policy-making to foster urban space and therefore has
long been a goal of urban studies. Recently, the emerging urban big data and urban analytic …
long been a goal of urban studies. Recently, the emerging urban big data and urban analytic …
Spatial variations in urban public ridership derived from GPS trajectories and smart card data
Understanding urban public ridership is essential for promoting public transportation.
However, limited efforts have been made to reveal the spatial variations of multi-modal …
However, limited efforts have been made to reveal the spatial variations of multi-modal …
[HTML][HTML] Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges
In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …