Catalog Description: Data science methods are increasingly important in geography and earth science. This course introduces some of the particular challenges of working with spatial data arising from characteristics specific to such data. These issues will be explored in a series of modules deploying data science methods to investigate contemporary topics in geography and earth science, relating to climate science, hydrology, population census and remote sensing of environment. No prior knowledge is assumed or expected.
Units: 2.0
Prerequisites: None
Formats:
Fall and/or Spring: 7 weeks - 2 hours of lecture and 4 hours of laboratory per week
Grading Basis: Letter
Final Exam Status: Final exam not required