Statistical Data Analysis for GIS

Catalog description

Prerequisites: Graduate standing, MATH 1320 , MATH 2450 or consent of instructor. This course covers statistical concepts and techniques that are standard for solving geospatial problems. Emphasis will be placed on descriptive statistics and inferential statistics, with a view towards working with geographic and geospatial data. Topics may include: geographical data characteristics, visualization of GIS data, mappings and spatial patterns, descriptive statistics for geospatial data, inferential spatial statistics, autocorrelation, point pattern analysis, area pattern analysis, mapping regression models, spatial statistics applications (disease transmission, racial bias, etc.). Credit cannot be earned for both MATH 4470 and MATH 5470 .