This book frames and demonstrates the best of modern morphometric methods, bridging the gap between biostatistics and organismal biology.

The first edition of Geometric Morphometrics for Biologists has been the primary resource for teaching modern geometric methods of shape analysis to biologists who have a stronger background in biology than in multivariate statistics and matrix algebra. These geometric methods are appealing to biologists who approach the study of shape from a variety of perspectives, from clinical to evolutionary, because they incorporate the geometry of organisms throughout the data analysis. The second edition of this book retains the emphasis on accessible explanations, and the copious illustrations and examples of the first, updating the treatment of both theory and practice. The second edition represents the current state-of-the-art and adds new examples and summarizes recent literature, as well as provides an overview of new software and step-by-step guidance through details of carrying out the analyses. Contains updated coverage of methods, especially for sampling complex curves and 3D forms and a new chapter on applications of geometric morphometrics to forensics Offers a reorganization of chapters to streamline learning basic concepts Presents detailed instructions for conducting analyses with freely available, easy to use software Provides numerous illustrations, including graphical presentations of important theoretical concepts and demonstrations of alternative approaches to presenting results

This book offers a thorough and up-to-date treatment of the use of morphometric procedures in a wide variety of contexts. As one of the most dynamic and popular fields on the contemporary biological scene, morphometrics is gaining notice among researchers and students as a necessary complement to molecular studies in the understanding and maintenance of biodiversity. This is the first reference to meet that growing need.

The idea of form is one of the most fundamental concepts underlying all of the sciences. Our visual system is so well developed that we are able to effortlessly classify and compare visual images. What is not so well developed has been our ability to measure this visual information. This book examines a number of recent approaches currently in use to numerically characterize the biological form. It presents a unique overview of these methods, starting with a review of measurement set in a historical framework. The book will be of interest to graduate students in addition to a wide range of researchers, including those in the specialized fields of human biology, growth and development, orthodontics, botany, biology, ecology, zoology, as well as dentistry and medicine.

This first systematic survey of the subject combines multivariate statistical analysis, geometry, and biomathematics.

This book aims to explain how to use R to perform morphometrics. Morpho- tric analysis is the study of shape and size variations and covariations and their covariations with other variables. Morphometrics is thus deeply rooted within stat- tical sciences. While most applications concern biology, morphometrics is becoming common tools used in archeological, palaeontological, geographical, or medicine disciplines. Since the recent formalizations of some of the ideas of predecessors, such as D’arcy Thompson, and thanks to the development of computer techno- gies and new ways for appraising shape changes and variation, morphometrics have undergone, and are still undergoing, a revolution. Most techniques dealing with s- tistical shape analysis have been developed in the last three decades, and the number of publications using morphometrics is increasing rapidly. However, the majority of these methods cannot be implemented in available software and therefore prosp- tive students often need to acquire detailed knowledge in informatics and statistics before applying them to their data. With acceleration in the accumulation of me- ods accompanying the emerging science of statistical shape analysis, it is becoming important to use tools that allow some autonomy. R easily helps ful?ll this need. Risalanguage andenvironment forstatisticalcomputingandgraphics. Although there is an increasing number of computer applications that perform morphometrics, using R has several advantages that confer to users considerable power and possible new horizons in a world that requires rapid adaptability.

Contributors from a range of disciplines consider the disconnect between human evolutionary studies and the rest of evolutionary biology. The study of human evolution often seems to rely on scenarios and received wisdom rather than theory and methodology, with each new fossil or molecular analysis interpreted as supporting evidence for the presumed lineage of human ancestry. We might wonder why we should pursue new inquiries if we already know the story. Is paleoanthropology an evolutionary science? Are analyses of human evolution biological? In this volume, contributors from disciplines that range from paleoanthropology to philosophy of science consider the disconnect between human evolutionary studies and the rest of evolutionary biology. All of the contributors reflect on their own research and its disciplinary context, considering how their fields of inquiry can move forward in new ways. The goal is to encourage a more multifaceted intellectual environment for the understanding of human evolution. Topics discussed include paleoanthropology's history of procedural idiosyncrasies; the role of mind and society in our evolutionary past; humans as large mammals rather than a special case; genomic analyses; computational approaches to phylogenetic reconstruction; descriptive morphology versus morphometrics; and integrating insights from archaeology into the interpretation of human fossils. Contributors Markus Bastir, Fred L. Bookstein, Claudine Cohen, Richard G. Delisle, Robin Dennell, Rob DeSalle, John de Vos, Emma M. Finestone, Huw S. Groucutt, Gabriele A. Macho, Fabrizzio Mc Manus, Apurva Narechania, Michael D. Petraglia, Thomas W. Plummer, J.W. F. Reumer, Jeff Rosenfeld, Jeffrey H. Schwartz, Dietrich Stout, Ian Tattersall, Alan R. Templeton, Michael Tessler, Peter J. Waddell, Martine Zilversmit