Geometric morphometrics for biologists [recurso electrónico] : a primer / Miriam Leah Zelditch, Donald L. Swiderski, H. David Sheets.
Tipo de material: TextoDetalles de publicación: Amsterdam ; Boston : Elsevier Academic Press, 2012Edición: 2nd edDescripción: 1 online resource (x, 478 p.) : illISBN: 9780123869036 (electronic bk.); 012386903X (electronic bk.); 9780123869036 (hbk.); 012386903X (hbk.); 9780123869043 (electronic bk.); 0123869048 (electronic bk.); 1283717123; 9781283717120Tema(s): Morphology -- Statistical methods | Morphology -- Mathematics | Biology -- Classification -- Statistical methods | SCIENCE / Life Sciences / Anatomy & PhysiologyGénero/Forma: Electronic books.Formatos físicos adicionales: Print version:: Geometric morphometrics for biologists.Clasificación CDD: 571.3015195 Clasificación LoC:QH351 | .Z45 2012Recursos en línea: Libro electrónico ScienceDirect Resumen: 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.Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|---|---|
Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QH351 .Z45 2012 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 380546-2001 |
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.
Includes bibliographical references and index.
Description based on title from publisher's website (ScienceDirect, viewed on July 11, 2012).
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