Applied Spatial Statistics

Catalog description

This course covers spatial data structures; spatial data exploration and visualization in R; spatial point patterns, spatially continuous data, and grid data; and nearest neighbor distances, K function, complete spatial randomness, variogram, kriging, and Moran’s I. For 6000-level credit a major project is required.