Spatial Statistics

Three credits · Undergraduate

This course will provide students with the knowledge and skills required to investigate the underlying spatial processes which generate the patterns we observe in real-world data. Students will learn to design and implement a spatial analysis and demonstrate the ability to apply and critically interpret appropriate methods for the analysis of geographical information. Topics will include an introduction to statistical mapping, point pattern analyses, investigating spatial autocorrelation, and analysing areal and spatially continuous data . Prerequisites: DSCI 204, STAT 331. Three credits.