GEOG 520 Geoscience Data Modeling
CONTENT: This course examines multivariate statistical methods for
analyzing and modeling spatial data and processes. Regression methods, including spatial autoregressive and spatial varying parameter models, are
explored, along with principal components, cluster analysis, and other multivariate methods. Applications in an interactive G.I.S. computer-based
environment form the foundation of this course. Prerequisite: Graduate Student standing, Geography 391 or its equivalent, and an introductory G.I.S. course (i.e. Geog 317 or 319). 4 hours.
OFFERED: Every Spring semester (Yan/Foster).
Current Syllabus:
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This page last updated on 10/17/08