Introduction to Spatial Analysis for Social Science

Are you interested in using data to understand the 'where' behind social issues like inequality or public health access? This course introduces you to the power of spatial analysis, a key skill for anyone in urban planning, public policy, or social research. By the end of this course, you will be able to transform raw datasets into insightful maps that tell a compelling story. You'll gain the confidence to analyze geographic patterns and communicate your findings, turning complex information into clear, actionable insights. What you'll learn: - Understand the fundamental concepts of spatial data, including vector and raster models. - Practice joining tabular data, such as census information, with geographic boundaries like zip codes or districts. - Create thematic maps to visualize socio-economic trends, population density, and resource distribution. - Apply basic geoprocessing techniques to analyze relationships between different locations and features. - Learn the principles of effective cartography to design maps that are clear, accurate, and ethical. - Explore modern methods for sourcing and preparing open geographic data for analysis. This course starts with the core terminology of Geographic Information Systems (GIS) before moving on to practical, text-based exercises that guide you through analyzing real-world scenarios. It is designed for absolute beginners with no prior experience in mapping or spatial analysis required. All you need is a desire to explore the geographic dimension of data. Start your journey into data-driven social science and urban analysis today.