GEOG 5190 - Spatial Statistics and Geographic Data Analysis

3 hours

Recording the location of scientific, business and social data is now routine, and what can be learned from spatial data is becoming increasingly important. This course introduces three types of spatial data and reviews a range of statistical methods to explore these data with a focus on their conceptual and applied aspects. Topics include formal spatial data structures, spatial weight, geovisualization and visual analytics, spatial autocorrelation, cluster detection and spatial interpolation. An important aspect of the course is to learn and apply open-source software tools, including Python, R and GeoDa.

Prerequisite(s): Consent of department. All participants are expected to have knowledge of elementary statistics (e.g., GEOG 5185) and to be familiar with programming (e.g., python, R; GEOG 5560). No extensive GIS background beyond ArcGIS basics is needed.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $11.10