[HTML][HTML] Street view imagery in urban analytics and GIS: A review
Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …
collection and urban analytics, deriving insights and supporting informed decisions. Such …
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 …
A framework for quantitative analysis and differentiated marketing of tourism destination image based on visual content of photos
Photos shared by tourists are being generated at an unprecedented speed, creating new
opportunities to study tourism destination images. Nevertheless, little research has focused …
opportunities to study tourism destination images. Nevertheless, little research has focused …
[HTML][HTML] Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax
The quality of street space plays an important role in promoting urban development. Street
space refers to public spaces consisting of street elements such as plant, roads and …
space refers to public spaces consisting of street elements such as plant, roads and …
A review of urban physical environment sensing using street view imagery in public health studies
Urban physical environments are the physical settings and built environments in
neighbourhoods and cities which provide places for human activities. Evidence suggests …
neighbourhoods and cities which provide places for human activities. Evidence suggests …
Global Streetscapes—A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Street view imagery (SVI) is instrumental for sensing urban environments, benefitting
numerous domains such as urban morphology, health, greenery, and accessibility. Billions …
numerous domains such as urban morphology, health, greenery, and accessibility. Billions …
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 …
Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China
There is a high correlation between the physical environment, human perception, and urban
vitality. However, fine-scale variations in urban vitality are complex, and human perceptions …
vitality. However, fine-scale variations in urban vitality are complex, and human perceptions …
[HTML][HTML] A comprehensive framework for evaluating the quality of street view imagery
Street view imagery (SVI) is increasingly in competition with traditional remote sensing
sources and assuming its domination in myriads of studies, mainly thanks to the …
sources and assuming its domination in myriads of studies, mainly thanks to the …
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 …