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F&ES 781 01 (24007) /STAT674
Applied Spatial Statistics
Timothy Gregoire
TTh 10.30-11.50 KRN 319
Spring 2014 
 
3 credits. An introduction to spatial statistical techniques with computer applications. Topics include spatial sampling, visualizing spatial data, quantifying spatial association and autocorrelation, interpolation methods, fitting variograms, kriging, and related modeling techniques for spatially correlated data. Examples are drawn from ecology, sociology, public health, and subjects proposed by students. Four to five lab/homework assignments and a final project. The class makes extensive use of the R programming language as well as ArcGIS.