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Titlebook: Morphometrics with R; Julien Claude Book 2008 Springer-Verlag New York 2008 STATISTICA.data acquisition.data analysis.evolutionary biology

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书目名称Morphometrics with R
编辑Julien Claude
视频video
概述With a single book in a single environment, learn how to perform shape analysis from data acquisition to a variety of adapted statistics..Examples of codes, displays and exercises provide a progressiv
丛书名称Use R!
图书封面Titlebook: Morphometrics with R;  Julien Claude Book 2008 Springer-Verlag New York 2008 STATISTICA.data acquisition.data analysis.evolutionary biology
描述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 a
出版日期Book 2008
关键词STATISTICA; data acquisition; data analysis; evolutionary biology; morphology; morphometrics; phenotypes; s
版次1
doihttps://doi.org/10.1007/978-0-387-77789-4
isbn_softcover978-0-387-77789-4
isbn_ebook978-0-387-77790-0Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer-Verlag New York 2008
The information of publication is updating

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Morphometrics with R978-0-387-77790-0Series ISSN 2197-5736 Series E-ISSN 2197-5744
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Book 2008their 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
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