ResourcesHargrove, W.W., and R.J. Luxmoore. 1997. A clustering technique for the generation of customizable ecoregions. In: Proceedings of the ESRI Arc/INFO Users Conference, Palm Springs, California.
Hargrove, W.W.; Luxmoore, R.J. 1998. A new high-resolution national map of vegetation ecoregions produced empirically using multivariate spatial clustering. In: Proceedings of the ESRI Arc/INFO Users Conference, Palm Springs, California.
Hargrove, W.W.; Hoffman, F.M. 2000. An analytical assessment tool for predicting changes in a species distribution map following changes in environmental conditions. In: 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4): Problems, Prospects and Research Needs, Banff, Alberta, Canada, Sept. 2-8, 2000.
Hargrove, W.W.; Hoffman, F.M. 2005. Potential of multivariate quantitative methods for delineation and visualization of ecoregions. Environmental Management. 34((Suppl. 1)):S39-S60.
Hoffman, F.M.; Hargrove, W.W.; Erickson, D.J.; Oglesby, R.J. 2005. Using clustered climate regimes to analyze and compare predictions from fully coupled general circulation models. Earth Interactions. 9(10).
Potter, K.M., W.W. Hargrove, and F.H. Koch. 2010. Assessing forest tree risk of genetic degradation from climate change. Poster presentation at USDA Forest Service Forest Health Monitoring 16th Annual Workgroup Meeting, Albuquerque, New Mexico, Jan. 25-28, 2010.
Potter, K.M., W.W. Hargrove, and F.H. Koch. 2010. Predicting climate change extirpation risk for central and southern Appalachian forest tree species. Proceedings from the Conference on Ecology and Management of High-Elevation Forests of the Central and Southern Appalachian Mountains. J.S. Rentch and T.M. Schuler, eds. Snowshoe, West Virginia, May 14-15, 2009. General Technical Report NRS-P-64. Newtown Square, Pennsylvania: USDA Forest Service, Northern Research Station. pp. 179-189.