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May 20, 2024
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GRAD 8104 - Spatial Statistics
Introduction to modern spatial statistics methods and their applications for the analysis of spatial data. Fundamental characteristics of spatial data, including spatial dependence, stationarity, and isostropy are covered. Three main categories of spatial statistics are given focus: spatial point pattern analysis, spatial prediction and geostatistics, and spatial regression. Hands-on practices are given to facilitate the understanding of theories and methods of spatial statistics.
Credit Hours: (3)
Prerequisite(s): GRAD 8101 or equivalent.
Cross-listed as: GRAD 6104
Repeatability: May not be repeated for credit.
Most Recently Offered (Day): Spring 2018, Spring 2017
Most Recently Offered (Evening): Course has not been offered at this time in the past 3 years
Schedule of Classes
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