Jay M. Ver Hoef has been a
Biometrician with the Alaska Department of Fish and Game and an adjunct
professor of statistics at the University of Alaska, Fairbanks since 1991. His fields of major statistical activities are in spatial
statistics, sampling, and Bayesian statistics. He has developed an applied
course on spatial statistics that he has taught throughout the United States and
statistical methods allow the modeling of data using spatial information.
Spatial statistics are used in diverse subject areas ranging from
environmental to biomedical applications.
Examples include interpolation methods such as kriging, spatial
regression, and disease-mapping. This course will cover two main areas in spatial statistics:
geostatistics and lattice models.
The course will begin with an introduction to applied spatial statistics. We build on familiar concepts from linear models including regression and ANOVA, and extend these models and analyses for spatial data. Significant new implementations of software in all of these areas have occurred in recent years, including SAS, R, SPlus, WinBUGS, and ARCINFO/ARCVIEW. The course will include a lab, and a CD is provided that includes a monograph on the technical background, powerpoint presentations, all data sets that are used in the course, and all computer code that is used to analyze the data and illustrate concepts.