GEO 458 - Research Applications in GIS

This course is a workshop in spatial analysis in which students undertake an original research project. The objective of the course is to generate a product which meets professional standards for publication or presentation at a professional meeting, allowing students to build resumes and gain exposure to a professional audience. A variety of software will be used in the course, as projects demand. The starting point will be the opensource geospatial analysis software GeoDa. This tool provides state-of-the-art methods for geospatial analysis, spatial econometrics, and geo-visualization. Topics covered will include: exploratory spatial data analysis, spatial autocorrelation statistics for aggregate data, basic spatial regression analysis for point and polygon data, univariate and multivariate local cluster maps, principal components analysis, k-means, hierarchical clustering, and spatial econometrics.

Prerequisite(s): GEO 308 or GEO 508, or permission of instructor; and GEO 408 or GEO 518 (prior or concurrent registration).
Co-requisite(s):
Credits: 3

Meets the Following Core Requirement: Capstone; Engaged Learning
Course Typically Offered:
Course Type: Geography