Spatial Data Analytics for Urban Regeneration

​Spatial data and urban analytics have become indispensable tools for decoding the multi-layered complexities of the modern city. This online talk explores the critical role of spatial mapping as a diagnostic and strategic instrument in urban planning and regeneration. Rather than treating maps as static visual assets, the session highlights how spatial data exposes hidden systemic relationships—enabling planners to evaluate ecological capacity, track gentrification and real estate dynamics, map mobility networks, and measure the distribution of industrial corridors versus green infrastructure across urban landscapes.

​Designed as an engaging discussion, this session offers a guided tour of how data drives impactful urban decision-making. Attendees will discover how raw datasets are transformed into actionable urban insights using case studies from Barcelona and Bangalore, while gaining an accessible introduction to the emerging role of GeoAI—exploring how artificial intelligence and machine learning are revolutionizing spatial analysis, land cover mapping, and predictive urban modeling. The session concludes with an open Q&A and networking segment, offering participants a collaborative space to exchange ideas, ask questions, and connect with peers passionate about the future of cities.