STAT-628 Spatial Data Analysis (3)

This course introduces students to the basic concepts of spatial data analysis. Spatial data analysis concerns data that are correlated by location and relies upon the assumption that objects closer together in space (e.g., geographical location) will most likely have similar responses. The course provides an introduction to graphical and quantitative methods for the analysis of spatial data. Emphasis is on lattice data (also known as areal data or aggregated data), however modeling of geostatistical data and point patterns are discussed. Topics include spatial regression, clustering and cluster detection, simulation methods, variograms, autocorrelation, and additional spatial methods. Students gain experience with spatially correlated data in applying these techniques using geographic information system (GIS) and spatial analytical software to address research questions in a wide variety of fields including sociology, public health, and environmental sciences. Crosslist: STAT-428. Recommendation: basic statistics course.