GGR376H5 • Spatial Data Science II

Description

This course builds on quantitative methods introduced in GGR276, and aims to provide a broad study of advanced statistical methods and their use in a spatial context in physical, social, and environmental sciences. The course covers theories, methods, and applications geared towards helping students develop an understanding of the important theoretical concepts in spatial data analysis, and gain practical experience in application of spatial statistics to a variety of physical, social and environmental problems using advanced statistical software.

Prerequisites
9.0 credits including GGR276H5 or permission of instructor
Distribution Requirement
Science
Total Instructional Hours
24L/24P
Mode of Delivery
In Class
Program Area
Geography