SIE 512 - Spatial Analysis

Introduces students to techniques for spatial analysis. Covers methods and problems in spatial data sampling, issues in preliminary or exploratory analysis, problems in providing numerical summaries and characterizing spatial properties of map data and analysis techniques for univariate and multivariate data. Students will be responsible for completing several hands-on exercises.

Prerequisites: An introductory statistics course. Graduate standing or permission of instructor.

Course Typically Offered: Fall

Credits: 3