Data Analytics and Computation 690D - Spatial Data Analysis

This course introduces students to spatial analytics using both GIS and R, with primary focus on social scientific research, social justice concerns as well as social and public policy related inquiries. Exposure would also be given to the theoretical underpinnings of robust analysis as they pertain to spatial data analytics. Descriptive statistics in the context of spatial data would be the focus of the first third of the term, followed by an introduction to OLS and relevant estimation aims such as minimization of residuals. The last third of the term would be dedicated to various techniques of introducing robustness in the specification of spatial OLS. Instruction of topics will be conducted in a self-contained manner, however, some basic knowledge of R along with probability and statistics would be needed to prosper in the course. Evaluation will primarily be based on two class projects that engage the concepts introduced throughout the term.

DACSS 601