Statistics

ST733 - Applied Spatial Statistics

• Prerequisites: ST512
• Term & Frequency: Every spring
• Student Audience: Graduate students in Statistics and related fields
• Credit: 3 credits
• Recent Texts: Gelfand, Diggle, Fuentes, Guttorp (2010). The Handbook of Spatial Statistics. Chapman & Hall/CRC (optional).
• Recent Instructors: Brian Reich, Montse Fuentes
• Background and Goals: The course covers the fundamental concepts used for analysis of geostatistical, areal, and point-pattern spatial data. Analysis using existing software is emphasized, and the statistical techniques are illustrated using environmental, geological and agricultural data.
• Content: Variogram models; Spatial regression; Kriging; Gaussian Markov random fields; Simultaneous autoregressive models; Moran and Geary tests; Poisson processes.
• Alternatives: None
• Subsequent Courses: ST810, Spatial Statistics

SP 2013 Sections: