Spatial Statistics

3 credits · Undergraduate

(3 hrs Lecture | 1.25 hrs Lab) This course considers the theory and application of statistical techniques for analysis of spatial (geographic) data. Topics include: characteristics of spatial data, types of maps and issues in mapping, spatial analysis of areal units (Moran's I statistic and extensions), point pattern analysis (centrography, measures of density, distance and dispersion), spatial statistics for fields (spacial interpolation, semivariogram and kriging) location quotient, Gini index and Lorenz curve. Use of R statistical software and some spreadsheet software is required. Examples are drawn from demography, developmental practice geography, epidemiology, environmental science, and biology. Requisite Courses: STAT-1302 or STAT-2001 or GEOG-2309 or the former STAT-1201 or STAT-1601 [prerequisite(s)]; STAT-4501L (lab) (must be taken concurrently).