Spatial Database Management and GIS for Urban Planning

As cities grow more complex, urban planners and data analysts rely on robust geographic information systems to make informed, data-driven decisions. Understanding how to structure, query, and manipulate spatial databases is essential for analyzing infrastructure, land use, and environmental patterns. This course guides you from the fundamental concepts of spatial data to executing advanced geographic queries. You will learn how to design spatial databases, perform geometric operations, and analyze geographic datasets to address critical urban planning scenarios. What you'll learn: Understand core spatial data models, coordinate reference systems, and geographic projections; Design and structure relational databases optimized for spatial data; Write SQL queries with spatial extensions to perform geographic analysis and attributes filtering; Apply spatial join and overlay techniques to combine diverse urban datasets; Execute geometric operations like buffering, distance calculations, and area measurements; Practice modern data workflows including managing vector spatial datasets. The course begins with foundational definitions of geographic information systems and spatial data types, before moving into database design, hands-on spatial SQL exercises, and practical urban analysis workflows. This text-based course is designed for beginners in GIS, urban planning students, and data analysts looking to build a strong foundation in spatial databases with no prior database experience required. Start reading to master the spatial data skills needed for modern urban analysis.