MS in GIS - General Emphasis - Elective

This course is for qualified students working on an individual basis with professors who have agreed to supervise such work. Graduate students doing independent work which cannot be classified as actual research will register for credit under course number 699.

MS students can take up to 3 units of GIST 699 only with advanced approval from a GIST advisor.

This course is an introduction to the fundamentals of statistical analysis for Geographic Information Systems (GIS) and spatial data. Students will be taught elements, methods and theories of quantitative and statistical techniques used in spatial analysis and cartography, with emphasis on how to apply these tools to solve geographical, urban, and regional planning problems. This course emphasizes hands-on learning through practical lab exercises and statistical modeling projects that develop both technical proficiency and analytical thinking skills essential for spatial data analysis.

This course introduces students to the theory of geovisualization (GV) and presents a range of case study applications.  GV is intended to support spatio-temporal decision making across a range of domains, from urban planning to environmental management and climate analysis.  Students integrate their theoretical learning into the assigned Lab protocol to design, deliver and test a range of GV products.  A range of softwares are used including the ArcGIS suite and Tableau Public.