STA465H1: Theory and Methods for Complex Spatial Data

Hours: 
36L

Data acquisition trends in the environmental, physical and health sciences are increasingly spatial in character and novel in the sense that modern sophisticated methods are required for analysis. This course will cover different types of random spatial processes and how to incorporate them into mixed effects models for Normal and non-Normal data. Students will be trained in a variety of advanced techniques for analyzing complex spatial data and, upon completion, will be able to undertake a variety of analyses on spatially dependent data, understand which methods are appropriate for various research questions, and interpret and convey results in the light of the original questions posed.

Prerequisite: 

STA302H1/​STAC67H3/STA302H5, STA303H1

Distribution Requirements: 
Science
Breadth Requirements: 
The Physical and Mathematical Universes (5)