Jennifer A. Miller

Interests

Biography

Dr. Jennifer Miller teaches introductory and advanced courses in GIS at the undergraduate level. Her graduate seminars focus on GIScience and ecological applications.

Dr. Miller's general research interests lie at the confluence of GIScience, spatial analysis, and biogeography. Her specific research focus is in the application area of species distribution modeling (SDM), and much of her previous work has addressed explicitly spatial issues associated with SDM, such as incorporating spatial autocorrelation and representating spatial accuracy and uncertainty. Current research investigates the effects that spatial structure, scale and sampling strategies have on SDM using simulated data; using SDM to investigate the effects of climate change; and using spatial simulation to analyze (animal) species movement and interaction.

Selected Publications

Miller, J. (in press). Species distribution models: spatial autocorrelation and nonstationarity. Progress in Physical Geography.

Miller, J. and R.Q. Hanham (2011). Spatial nonstationarity and the scale of species-environment relationships in the Mojave Desert, CA, USA. International Journal of Geographical Information Science 25(3):423-438.

Miller, J. (2010) Species Distribution Modeling. Geography Compass 4(6):490-509.

Miller, J. and J. Franklin (2010). Incorporating spatial autocorrelation in species distribution models, in Handbook of Applied Spatial Analysis, M. Fischer and A. Getis, eds. Springer Pubs, Pgs 685-702.

Franklin, J. and J. Miller (2009). Statistical methods - Modern regression, in Spatial Inference and Prediction with Biogeographical Data, J. Franklin, auth. Cambridge University Press, pgs. 113-153.

Aspinall, R., J. Miller, and J. Franklin (2009). Calculations on the back of a climate envelope: addressing the geography of species distributions. Proceedings of the National Academy of Sciences 106(16): E44.

Miller, J., J. Franklin, and R. Aspinall (2007). Incorporating spatial dependence in predictive vegetation models. Ecological Modelling 202(225-242).

Miller, J. (2005). Incorporating spatial dependence in predictive vegetation models: residual interpolation methods. The Professional Geographer 57(2): 169-184.