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ST 533 Applied Spatial Statistics
Introduction to statistical models and methods for analyzing various types of spatially referenced data. The focus is on applications with real data and their analysis with statistical programs such as R and SAS. Students are required to write, modify, and run computer code in order to complete homework assignments and final projects.
Typically offered in Spring only
Statistics (PhD)
/graduate/sciences/statistics/statistics-phd/
1 Unless student has taken ST 542 Statistical Practice 2 A 500-level or 700-level course in either statistics or another department with material relevant to the student’s plan of work. Examples include ST 520 , ST 531 , ST 533 , ST 534 , ST 537 , ST 540 , ST 544 , ST 546 / MA 546 , ST 563 , ST 721 , ST 732 , ST 733 , ST 740 , ST 745 , ST 746 , ST 747 / MA 747 , and ST 790 3 Additional courses may include ST 801 , ST 895  and courses taken from a Master of Statistics or Master of Science in Statistics degree at NCSU.