Course Details
Students will develop practical skills in manipulating, analyzing, and visualizing spatial data to solve real-world geographic problems across various disciplines including urban planning, environmental science, public health, and business intelligence. The curriculum covers GIS fundamentals, data management and preparation, basic and advanced spatial analysis operations (buffering, overlay analysis, interpolation, network analysis), spatial statistics and pattern analysis, cartographic design principles, and applied project work. Through hands-on laboratory exercises, students will learn to import and manage various spatial data formats, perform spatial queries and statistical analysis, create professional-quality maps and visualizations, and design analytical workflows for specific research questions. No prior GIS experience is required, though basic computer literacy and elementary statistics knowledge are recommended. Assessment includes laboratory exercises, practical examinations, and a capstone project demonstrating mastery of spatial analysis techniques and their real-world applications.
Learning Outcomes
Perform spatial analysis operations (buffering, overlay, interpolation)
Conduct network analysis for accessibility studies
Apply spatial statistics to identify clustering patterns
Execute spatial queries to answer research questions
Manage and prepare various spatial data formats
Complete a capstone project demonstrating spatial analysis mastery
Course Prerequisites
QGIS Mapmaking
Topics Covered
GIS