Spatial Analysis for Urban Planning

Every urban challenge, from traffic congestion to public park distribution, has a geographic component. Understanding how to analyze and interpret spatial data is essential for designing sustainable, efficient, and equitable cities. This course introduces you to the core principles of spatial analysis and urban planning through structured, text-based lessons. You will transition from understanding basic geographic concepts to analyzing complex spatial relationships that shape our built environments. What you'll learn: Understand core spatial data structures including vector and raster models, Apply geographic coordinate systems and projections accurately to map data, Perform essential spatial analysis operations like buffering, clipping, and overlaying, Analyze urban patterns to identify accessibility and resource distribution gaps, Interpret spatial statistics to make data-informed urban planning recommendations, Practice cartographic design principles to communicate spatial findings clearly. We begin with foundational definitions of spatial data and geographic information systems, moving step-by-step through data acquisition, spatial relationships, and practical urban analysis workflows. This course is designed specifically for beginners in urban planning, geography, or public policy, with no prior GIS or programming experience required. Start reading today and build the skills to analyze the spaces around you.