F. James Rohlf

John S. Toll Professor, State University of New York.

Stony Brook, New York, US

 

F. James Rohlf is interested in the applications of mathematical methods and statistics (especially multivariate statistics) to problems in biology with emphasis on morphometrics and the theory of systematics. Along with Robert Sokal, he is the co-author of the popular text Biometry, now in its third edition. My current research is concerned with the development, evaluation, and application of new statistical methods for use in geometric morphometrics. Over the last few years I have written papers demonstrating how standard statistical methods such as principal components analysis, canonical variates analysis, multiple regression, and other methods can be adapted for the analysis of shape (by approximating the non-Euclidean shape space by a tangent space approximation). An important aspect of this new approach is that it is possible to visualize the results of many types of statistical analyses by generating shapes of hypothetical organisms. A current application involves the visualization of estimates of ancestral species.