[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 …
[HTML][HTML] Assessing urban greenery by harvesting street view data: A review
Urban greenery is of great significance for sustainable urban development due to the
diverse ecosystem services it provides. Assessing urban greenery can reveal its impact on …
diverse ecosystem services it provides. Assessing urban greenery can reveal its impact on …
Short-term traffic flow prediction for urban road sections based on time series analysis and LSTM_BILSTM method
C Ma, G Dai, J Zhou - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The real-time performance and accuracy of traffic flow prediction directly affect the efficiency
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …
Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green …
Green space, especially visual contact with greenery, is an important aspect of space quality
assessment and has a significant impact on the premium of real estate. Due to the limitations …
assessment and has a significant impact on the premium of real estate. Due to the limitations …
Quantification through deep learning of sky view factor and greenery on urban streets during hot and cool seasons
The urban heat island effect has gained attention worldwide. Built environment
characteristics such as sky view factor (SVF) and green view index (GVI) can affect urban …
characteristics such as sky view factor (SVF) and green view index (GVI) can affect urban …
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 …
Decoding urban landscapes: Google street view and measurement sensitivity
Abstract While Google Street View (GSV) has been increasingly available for large-scale
examinations of urban landscapes, little is known about how to use this promising data …
examinations of urban landscapes, little is known about how to use this promising data …
Estimating pedestrian volume using Street View images: A large-scale validation test
Pedestrian volume is an important indicator of urban walkability and vitality. Hence,
information on pedestrian volumes of different streets is indispensable for creating healthy …
information on pedestrian volumes of different streets is indispensable for creating healthy …
Life between buildings from a street view image: What do big data analytics reveal about neighbourhood organisational vitality?
This article uses big data from images captured by Google Street View (GSV) to analyse the
extent to which the built environment impacts the survival rate of neighbourhood-based …
extent to which the built environment impacts the survival rate of neighbourhood-based …
Does every computer scientist need to know formal methods?
We focus on the integration of Formal Methods as mandatory theme in any Computer
Science University curriculum. In particular, when considering the ACM Curriculum for …
Science University curriculum. In particular, when considering the ACM Curriculum for …