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[HTML][HTML] Algorithmic urban planning for smart and sustainable development: Systematic review of the literature
In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …
economic, social, environmental, and governance challenges. Thanks to its advanced …
Big Data in Earth system science and progress towards a digital twin
The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …
physics-based models in an interactive computational framework that enables monitoring …
[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 …
Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
[HTML][HTML] Social media data for conservation science: A methodological overview
Improved understanding of human-nature interactions is crucial to conservation science and
practice, but collecting relevant data remains challenging. Recently, social media have …
practice, but collecting relevant data remains challenging. Recently, social media have …
Measuring human perceptions of a large-scale urban region using machine learning
Measuring the human sense of place and quantifying the connections among the visual
features of the built environment that impact the human sense of place have long been of …
features of the built environment that impact the human sense of place have long been of …
Urban remote sensing with spatial big data: A review and renewed perspective of urban studies in recent decades
During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …
images, high spatial resolution multispectral satellite images, unmanned drone images, and …
[HTML][HTML] GeoAI for large-scale image analysis and machine vision: Recent progress of artificial intelligence in geography
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …
spatial analytics in Geography. Although much progress has been made in exploring the …
Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image
With the rise of GeoAI research, streetscape imagery has received extensive attention due to
its comprehensive coverage, abundant information, and accessibility. However, obtaining a …
its comprehensive coverage, abundant information, and accessibility. However, obtaining a …