Description: Introduction to the core concepts and tools for analyzing spatial data. Students will gain hands-on experience creating spatial data (including georeferencing, geocoding, and merging data sources), producing and interpreting maps, and describing and analyzing spatial patterns and relationships. Drawing on examples in housing, health, education, public policy, and urban studies, students will learn how to apply spatial concepts and methods to study the geographic distribution of social phenomena, the spatial organization of communities, and the relationship between society and the environment. Cross-list: SOCI 560. Recommended Prerequisite(s): The course uses R software for spatial data management and analysis. Students should have introductory-level knowledge of R and basic statistics prior to taking the course. Students can make use of online resources (e.g., https://www.datacamp.com/) to gain experience prior to the start of the course. Mutually Exclusive: Cannot register for SOCI 460 if student has credit for SOCI 560.