This document discusses producing spatial knowledge through advanced spatial analysis. It defines spatial knowledge as a methodology based on geographic contributions and digital techniques to represent the physical, perceived, and symbolic dimensions of space. Producing spatial knowledge involves mapping and interpreting spatial information to show realities, transformations over time, and possible scenarios. Advanced spatial analysis uses data from sources like Sensible City Lab to understand how spaces function and support decision-making, though it faces challenges in selecting phenomena to study, integrating different data sources and scales, and accounting for the variable of time. The overall goal is to develop useful and scalable representations of how socio-economic and technological changes influence contemporary cities and territories.