Urban Big Data Analysis: Insights & Applications

This lecture explores the integration of big data in urban contexts, highlighting its scope, sources, and significance in modern urban planning. It delves into analytical techniques such as machine learning, geospatial mapping, and time-series analysis to derive actionable insights, including traffic optimization and socio-economic assessments. Practical applications like smart traffic systems and environmental monitoring are discussed, alongside challenges like data privacy, scalability, and...