2 papers
stat.ML2022
Graph representation learning for street networks
Mateo Neira, Roberto Murcio
Streets networks provide an invaluable source of information about the different temporal and spatial patterns emerging in our cities. These streets are often represented as graphs…
cs.CV2019
An unsupervised approach to Geographical Knowledge Discovery using street level and street network images
Stephen Law, Mateo Neira
Recent researches have shown the increasing use of machine learn-ing methods in geography and urban analytics, primarily to extract features and patterns from spatial and temporal…