Fee Download Morphometrics For The Life Sciences, by Pete E. Lestrel, Lestrel Pete E
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Morphometrics For The Life Sciences, by Pete E. Lestrel, Lestrel Pete E
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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.
- Sales Rank: #6210711 in Books
- Brand: Brand: World Scientific Pub Co Inc
- Published on: 2000-08-04
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .86" w x 6.36" l, 1.19 pounds
- Binding: Hardcover
- 284 pages
- Used Book in Good Condition
Most helpful customer reviews
3 of 4 people found the following review helpful.
A book on de-bunking, not on morphometrics
By A mathematically-oriented reader
Background: I have a strong background in mathematics and image processing. I was looking for a book that could re-introduce me to the field of morphometrics. I had done some basic land-mark morphometrics before and wanted to return to the field.
Contrary to its title, this book is not about morphometrics for the life sciences. It is about the Fourier Descriptors methods and about de-bunking any other method. The book is divided by the author in two parts. The first part is dedicated to the history of measurement with strong emphasis on the politics involved, particularly the role of the (Catholic?) Church. I found this first part mildly interesting for historical curiosity, but completely irrelevant to the current morphometrics knowledge. The second part of the book (Morphometric Techniqhes) is supposed to cover different methods for morphomety. It does not. The second part includes chapters on Multivariate Morphometrics (Chapter 7) and Coordinate Morphometrics (Chapter 8). These two chapters (both less than 20 pages long) are devoted to highlighting the drawbacks of multivariate and coordinate morphometrics without giving enough mathematical background for the beginner to learn about them or to form an educated assessment of the methods. Boundary morphometrics (Chapter 9) is dedicated mostly to Fourier descriptors, the author's specialty. The chapter is allotted more than 35 pages, includes a mathematical background lacking in in other chapters, and -in contrast to other chapters, it does not mention any drawbacks of the Fourier descriptors. The book overemphasises the "information preserving" property of Fourier descriptors at the expense of morphometric techniques designed to assess differences. The only useful information I found in this book was the list of references regarding the methods this book tries to debunk.
4 of 9 people found the following review helpful.
Review
By Charles A. Wolfe
This may be the only book of its sort in print. Most morphometric texts are either very specialized or are becoming more of historical interest then having current applicability.
It is aimed at upper division and graduate students with an interest in morphometrics and can be used as textbook for a semester course in the subject. One does need a familiarity with mathematics; college algebra is the bare minimum to work thru the material, calculus is really required as is a course in applied statistics.
While a bit difficult in places (sometimes the way it is written, sometimes the difficulty of the material), the book is certainly worth reading and working your way thru. Master this book and you will be far more knoweldgable than most who claim to be active in morphometrics in biology or other fields.
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