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[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 …
Understanding house price appreciation using multi-source big geo-data and machine learning
Understanding house price appreciation benefits place-based decision makings and real
estate market analyses. Although large amounts of interests have been paid in the house …
estate market analyses. Although large amounts of interests have been paid in the house …
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach
Extracting hidden information from human mobility patterns is one of the long-standing
challenges of urban studies. In addition, exploring the relationship between urban functional …
challenges of urban studies. In addition, exploring the relationship between urban functional …
Social sensing: A new approach to understanding our socioeconomic environments
The emergence of big data brings new opportunities for us to understand our socioeconomic
environments. We use the term social sensing for such individual-level big geospatial data …
environments. We use the term social sensing for such individual-level big geospatial data …
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 …
Urban visual intelligence: Studying cities with artificial intelligence and street-level imagery
The visual dimension of cities has been a fundamental subject in urban studies since the
pioneering work of late-nineteenth-to mid-twentieth-century scholars such as Camillo Sitte …
pioneering work of late-nineteenth-to mid-twentieth-century scholars such as Camillo Sitte …
Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns
Understanding urban functions and their relationships with human activities has great
implications for smart and sustainable urban development. In this study, we present a novel …
implications for smart and sustainable urban development. In this study, we present a novel …
[HTML][HTML] Map** urban land use by using landsat images and open social data
High-resolution urban land use maps have important applications in urban planning and
management, but the availability of these maps is low in countries such as China. To …
management, but the availability of these maps is low in countries such as China. To …
Revealing travel patterns and city structure with taxi trip data
Delineating travel patterns and city structure has long been a core research topic in transport
geography. Different from the physical structure, the city structure beneath the complex travel …
geography. Different from the physical structure, the city structure beneath the complex travel …