ENVIR ST 402 LEC 001
Tuesday/Thursday, 9:30–10:45 a.m.
3 credits
Instructor
Joel Ferguson
Assistant Professor of Environmental Studies
ferguson7@wisc.edu
Course Description
This class aims to help students understand the particular methodological considerations that arise when studying datasets with an important spatial component. The course is designed to train students to be knowledgeable in the issues and intricacies of spatial data and their analysis, to understand and critique spatial analyses, and to be capable of conducting their own analysis and display of spatial data for policy or research.
Because spatial data encompasses many domains, we will study a wide variety of examples to demonstrate the broad utility of the skills and techniques covered in the class.
The first half of the course teaches students the foundations of spatial data and its analysis using the python programming language. The second half of the course exposes students to advanced topics, such as high-dimensional data, optimization, spatial regression models and more advanced analytical techniques.
Fulfills Environmental Studies
Theme
UW Designations
Intermediate
Social Science
