Essentials in the quantitative analysis of spatial and other data, with a particular emphasis on statistics and programming. Topics include data display, data description and summary, statistical inference and significance tests, analysis of variance, correlation, regression, and some advanced concepts, such as matrix methods, principal component analysis, and spatial statistics. Students will develop expertise in data analysis using advanced statistical software.
Course Offerings:
Summer 2018 ♦ Instructor: Joanne Hall
Principles of managing scarce resources in a world where everyone faces tradeoffs across both time and space. Focuses on the relationship between globalization processes and changing patterns of locational advantages, production, trade, population, socioeconomic and environmental grace and sustainability. (Human Geography)
Course Offerings:
Fall 2016 ♦ Instructor: Julie A. Silva
Fall 2015 ♦ Instructor: Julie A. Silva
Winter 2018 ♦ Instructor: Joshua Wayland
Summer 2018 ♦ Instructor: Joshua Wayland
Winter 2019 ♦ Instructor: Joshua Wayland
Summer 2019 ♦ Instructor: Joshua Wayland
Fall 2019 ♦ Instructor: Julie A. Silva
Fall 2018 ♦ Instructor: Julie A. Silva
Principles of remote sensing in relation to photographic, thermal infrared and radar imaging. Methods of obtaining quantitative information from remotely-sensed images. Interpretation of remotely-sensed images emphasizing the study of spatial and environmental relationships. (Technical)
Course Offerings:
Spring 2015 ♦ Instructor: Tatiana V. Loboda
Summer 2018 ♦ Instructor: Dongdong Wang