F&ES 781b/STAT 674b

Applied Spatial Statistics

2013-2014
Credits: 3
Spring 2014: Tu,Th, 10:30-11:50, Kroon 319
 
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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.