Morphometrics
Author: Richard A. Pimentel
Publisher:
Published: 1979
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Richard A. Pimentel
Publisher:
Published: 1979
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKAuthor: Miriam Zelditch
Publisher: Academic Press
Published: 2012-09-24
Total Pages: 489
ISBN-13: 0123869048
DOWNLOAD EBOOKThe 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
Author: Richard A. Pimentel
Publisher:
Published: 1979
Total Pages: 302
ISBN-13:
DOWNLOAD EBOOKMatrix algebra and multivariate methods; Multiple regression and correlation; Principal component analysis; Multigroup principal component analysis; Factor analysis; Canonical correlation analysis; Ordination and cluster analysis; Multivariate analysis of variance and covariance; Discriminant analysis; Computer programs for morphometrics.
Author: Fred L. Bookstein
Publisher: Cambridge University Press
Published: 2018-10-04
Total Pages: 547
ISBN-13: 1107190940
DOWNLOAD EBOOKThis book frames and demonstrates the best of modern morphometric methods, bridging the gap between biostatistics and organismal biology.
Author: Fred L. Bookstein
Publisher: Cambridge University Press
Published: 1991
Total Pages: 459
ISBN-13: 0521383854
DOWNLOAD EBOOKThis first systematic survey of the subject combines multivariate statistical analysis, geometry, and biomathematics.
Author: Leslie F. Marcus
Publisher: Springer Science & Business Media
Published: 1996-06-30
Total Pages: 630
ISBN-13: 9780306453014
DOWNLOAD EBOOK''An important addition to your library.'' ---American Scientist
Author: Ashraf M.T. Elewa
Publisher: Springer Science & Business Media
Published: 2013-03-09
Total Pages: 288
ISBN-13: 3662088657
DOWNLOAD EBOOKThis 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.
Author: Ashraf M.T. Elewa
Publisher: Springer Science & Business Media
Published: 2010-06-09
Total Pages: 363
ISBN-13: 3540958525
DOWNLOAD EBOOKThis introduction to morphometrics does not rely on complex mathematics and statistics. It includes application case studies in fields ranging from paleontology to evolutionary ecology, and it discusses software for analyzing and comparing shape.
Author: Julien Claude
Publisher: Springer Science & Business Media
Published: 2008-12-15
Total Pages: 317
ISBN-13: 0387777903
DOWNLOAD EBOOKThis 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.
Author: Robert E. Blackith
Publisher:
Published: 1971
Total Pages: 422
ISBN-13:
DOWNLOAD EBOOKThe historical background to morphometric studies; The mathematical framework of morphometric analyses; The biological background to multivariate analysis; Some simple forerunners of multivariate morphometrics; Some practical considerations; The use of angles between vectors; Formal background of discriminant functions analysis; Canonical variates; Canonical correlations; Variation in the apparently homogeneous sample; Du praw's non-linnean taxonomy; Principal components and principal coordinates analyses; Factor analysis; The measurement of environmental variation; Multivariate studies in ecology; Phytosociological studies; The quantitative comparison of faunal elements; Genetical aspects of morphometrics; Coordinated applications of multivariate analysis; Some applications of discriminatory topology; The relationships between morphometric analyses and numerical taxonomy...