STSCI 6610

Spatial and Spatial-Temporal Data Analysis

Course Description

Course information provided by the 2022-2023 Catalog. Courses of Study 2022-2023 is scheduled to publish mid-June.

The course covers the analysis of spatial and/or spatial-temporal data, defined as data that include references to spatial locations or regions. Topics may include spatial interpolation, regression with spatial data, Gaussian process models, construction of covariance functions, computational techniques for large datasets, hierarchical non-Gaussian models, analysis of point patterns, forecasting, and Bayesian methods.

Prerequisites/Corequisites Prerequisite: STSCI 4030/5030 or equivalent plus STSCI 3080 or equivalent plus STSCI 4520/5520 or proficiency in R programming.

Last 4 Terms Offered (None)

Outcomes

• Identify different types of spatial and spatial-temporal data.
• Select an appropriate model for the data.
• Estimate model parameters using statistical software.

When Offered Fall.

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