Morphometrics is the statistical study of biological shape and shape change. Its richest data are landmarks, points, such as the bridge of the nose, that have biological names as well as geometric locations. This book is the first systematic survey of morphometric methods for landmark data.
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Editorial Reviews
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"...will certainly be a landmark volume in this difficult but important field of shape analysis." K.V. Mardia, International Statisical Institute Short Book Reviews
"The new geometric morphometry, as epitomized in Bookstein's text, is a fully rounded scientific achievement. I recommend this well-written book to all biometricians concerned with the analysis of shape." R.A. Reyment, Biometrics
"...specialists working in this field may find the book to be a useful collation of methods for the study of shape." Shumei Guo, Journal of the American Statistical Association
"...a serious and wide-ranging effort to systematize morphometrics...Bookstein has done an admirable job in bringing together the tools needed to reach this goal and, consequently, in building his case about the importance of landmarks in morphometrics...will clearly be important in morphometrics for some time." Scott Ferson, The Quarterly Review of Biology
"...this is essential reading for quantitative morphologists." Miriam Zelditch, BioScience
"Bookstein, through his strong personality and energy, has made the field of morphometrics very visible and has particulary made statisticians aware of the potential of the field for both statistical as well as scientific research...I would like to praise the author for making statisticians aware of the important field of morphometrics and for 'making us think'." Subhash Lele, Journal of the American Statistical Association
"The new geometric morphometry, as epitomized in Bookstein's text, is a fully rounded scientific achievement. I recommend this well-written book to all biometricians concerned with the analysis of shape." R.A. Reyment, Biometrics
"...specialists working in this field may find the book to be a useful collation of methods for the study of shape." Shumei Guo, Journal of the American Statistical Association
"...a serious and wide-ranging effort to systematize morphometrics...Bookstein has done an admirable job in bringing together the tools needed to reach this goal and, consequently, in building his case about the importance of landmarks in morphometrics...will clearly be important in morphometrics for some time." Scott Ferson, The Quarterly Review of Biology
"...this is essential reading for quantitative morphologists." Miriam Zelditch, BioScience
"Bookstein, through his strong personality and energy, has made the field of morphometrics very visible and has particulary made statisticians aware of the potential of the field for both statistical as well as scientific research...I would like to praise the author for making statisticians aware of the important field of morphometrics and for 'making us think'." Subhash Lele, Journal of the American Statistical Association
Book Description
This book is the first systematic survey of morphometric methods for landmark data. It combines conventional multivariate statistical analysis with themes from plane and solid geometry and from biomathematics to support biological insights into the features of many different organs and organisms.
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1 of 1 people found the following review helpful:
3.0 out of 5 stars
good reference for shape research,
By A Customer
This review is from: Morphometric Tools for Landmark Data: Geometry and Biology (Paperback)
Bookstein's work represents an alternative to Kendall's view of shape that is more specific to biological forms. The operationalization of D'Arcy Thompson's ideas on biological shape using thin-plate splines is reason alone to get a copy of this book. Bookstein's coverage of thin-plate splines is very clear and intuitive. Unfortunately this standard is not upheld for all subjects covered in the book, but the fact is that this is a very difficult subject.
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Inside This Book
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First Sentence:
This chapter assembles miscellaneous topics that underlie the statistical, geometrical, and biological reasoning about morphometric data and morphometric explanations put forward in this volume. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mean landmark locations, biorthogonal directions, mean landmark configuration, rat calvarial growth, relative eigenanalysis, net bending energy, log anisotropy, first relative warp, single size variable, interlandmark distances, centroid size, relative warps, baseline landmarks, circular noise, spherical blackboard, partial warps, morphometric questions, principal warps, constructed landmarks, observed shape change, inhomogeneous transformation, ordinary principal components, landmark configurations, landmark displacements, landmark data Key Phrases - Capitalized Phrases (CAPs): (learn more)
University School Study, Sewall Wright, Examples Figure, After Bookstein, Ann Arbor, D'Arcy Thompson, New York University, Partial Least Squares, David Kendall, Elena Tabachnick, Van Valen New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This chapter assembles miscellaneous topics that underlie the statistical, geometrical, and biological reasoning about morphometric data and morphometric explanations put forward in this volume. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mean landmark locations, biorthogonal directions, mean landmark configuration, rat calvarial growth, relative eigenanalysis, net bending energy, log anisotropy, first relative warp, single size variable, interlandmark distances, centroid size, relative warps, baseline landmarks, circular noise, spherical blackboard, partial warps, morphometric questions, principal warps, constructed landmarks, observed shape change, inhomogeneous transformation, ordinary principal components, landmark configurations, landmark displacements, landmark data Key Phrases - Capitalized Phrases (CAPs): (learn more)
University School Study, Sewall Wright, Examples Figure, After Bookstein, Ann Arbor, D'Arcy Thompson, New York University, Partial Least Squares, David Kendall, Elena Tabachnick, Van Valen New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 51
books:
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31
books
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- Proceedings of the Michigan Morphometrics Workshop (Special Publications No 2) by F. James Rohlf on 4 pages
- On Growth and Form: The Complete Revised Edition (Dover Books on Biology) by D'Arcy Wentworth Thompson on page 21, page 60, and Back Matter
- Multivariate Morphometrics by Richard A. Reyment on page 50, Back Matter (1), and Back Matter (2)
- Multivariate Analysis (Probability and Mathematical Statistics) by Kanti V. Mardia on page 52, and Back Matter
- Non-Euclidean Geometry (Mathematical Association of America Textbooks) by H. S. M. Coxeter on page 53, and Back Matter
See all 51 books this book cites
- Geometric Morphometrics for Biologists by Miriam L. Zelditch on 5 pages
- Visualization in Biomedical Computing: 4th International Conference, VBC '96, Hamburg, Germany, September 22 - 25, 1996, Proceedings (Lecture Notes in Computer Science) by Karl H. Höhne on page 371, and page 410
- Pattern Theory: From Representation to Inference (Oxford Studies in Modern European Culture) by Ulf Grenander in Back Matter (1), and Back Matter (2)
- Functional Data Analysis (Springer Series in Statistics) by Jim Ramsay in Back Matter
- Fossils, Phylogeny, and Form - An Analytical Approach (TOPICS IN GEOBIOLOGY by Jonathan M. Adrain on page 195
See all 31 books citing this book
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