Geostatistical Analysis in GIS

Undergraduate

This course will provide comprehensive examination of geostatistical approaches and how they can be incorporated into a spatial and statistical framework to determine how and why spatial distributions and patterns occur between and amongst humans and their environments. The specific geostatistical approaches that will be covered include methods that analyze patterns (spatial autocorrelation, nearest neighbour), map clusters (hot-spot, groupings and outliers), measure geographic distributions, and model spatial relationships (weighted/land use regressions, correlation matrices). (Prerequisites: ESCI- 2711 and STATS-2910 or SOSC-2500 (2 lecture, 2 laboratory hours per week)