Analytical Approaches in Spatial Data Science

Catalog description

This course focuses on theoretical discussions in spatial data science as well as the application of a range of spatial data science methods and tools to solve real-world problems and model geographic phenomena. Students will read, discuss, and synthesize research articles and develop coding solutions for spatial data science tasks through a series of lab exercises. Discussions will provide a platform for students to address emerging research challenges and coding problems in a collaborative framework. Exercises in this course provide students an opportunity design, implement, and troubleshoot analytical workflows while creating reproducible code for future adaptation. Students will develop concepts presented in readings to compare spatial data science methods and to create a new approach for a semester project.