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Jun 03, 2024
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GRAD 6104 - 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 6101 or equivalent
Cross-listed Course(s): GEOG 6120 , GEOG 8120 , GRAD 8104 , and INES 8090
Repeatability: May not be repeated for credit.
Schedule of Classes
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