Jon Graham, Ph.D.
Position
Associate Professor, The University of Montana
Ph.D
Ph.D., Statistics, North Carolina State University, Raleigh, 1995
BA/BS
B.A., Mathematics, 1990, The University of Virginia, Charlottesville, NC
CV
Webpage
Current Research
Broadly defined, my area of research is centered around the use of statistical methods for spatially correlated data. Within this general area, I have worked on a number of independent projects related to wildfire data and several collaborative projects with students and faculty primarily in forestry and the biological sciences. My research on wildfires in association with the Intermountain Fire Sciences Laboratory in Missoula has resulted in the development of methods based on the Mantel statistic and autologistic models to assess the relationship between wildfire history and satellite-based indexes of greenness, and is ongoing through the summer of 2006. The collaborative projects have explored many areas within the field of spatial statistics, including geostatistical, lattice, and point pattern analysis techniques. Some of the applications of these problems include more efficient methods of characterizing forest stem maps, the use of spatial ANOVA models to improve the analysis of intra- and interspecies comparisons of tree quality, Monte Carlo techniques for studying grizzly bear habitat use, and the use of Markov chain Monte Carlo methods to model the spread of a pathogen occurring naturally in bell pepper plants. More recently, I have become especially interested in problems involving issues of scale and spatial sampling in large area surveys, but enjoy working on virtually any problem benefiting from the use of spatial analysis techniques.
Recent Publications
P.A. Duffy, J.E. Walsh, J.M. Graham, D.H. Mann, T.S. Rupp, Impacts of large-Scale atmospheric-ocean variability on Alaskan fire season severity. Ecological Applications, 15(4): 1317-1330, 2005.
W. M. Jolly, J.M. Graham, A. Michaelis, R. Nemani, S.W. Running. A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales, Environmental Modelling and Software, 20: 873-882, 2005.
S.M. Wilson, M.J. Madel, D.J. Mattson, J.M. Graham, J.A. Burchfield, J.M. Belsky, Natural landscape features, human-related attractants, and conflict hotspots: a spatial analysis of human-grizzly bear conflicts. Ursus 16, 117-129, 2005.
C.W. Woodall, J.M. Graham, A technique for conducting point-pattern analysis of cluster plot stem-maps. Forest Ecology and Management 198: 31-37, 2004.
M.L. Gumpertz, J.M. Graham, and J.B. Ristaino, Autologistic model of spatial pattern of Phytophthora Epidemic in Bell Pepper: Effects of soil variables on disease presence, Journal of Agriculture, Biology, and Environmental Statistics, Vol. 2, No. 2, pp. 131-156, 1997.

