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Titlebook: Numerical Ecology with R; Daniel Borcard,Francois Gillet,Pierre Legendre Book 20111st edition Springer Science+Business Media LLC 2011 R s

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发表于 2025-3-21 17:00:40 | 显示全部楼层 |阅读模式
书目名称Numerical Ecology with R
编辑Daniel Borcard,Francois Gillet,Pierre Legendre
视频video
概述Practical guide to Numerical Ecology by leaders of the field.All examples are extensively commented.Complete data sets, functions and scripts are provided.Includes supplementary material:
丛书名称Use R!
图书封面Titlebook: Numerical Ecology with R;  Daniel Borcard,Francois Gillet,Pierre Legendre Book 20111st edition Springer Science+Business Media LLC 2011 R s
描述.Numerical Ecology with R. provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the .R. language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra .R. functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site(http://adn.biol.umontreal.ca/~numericalecology/numecolR/)..This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and w
出版日期Book 20111st edition
关键词R scripts; numerical ecology; practicals
版次1
doihttps://doi.org/10.1007/978-1-4419-7976-6
isbn_ebook978-1-4419-7976-6Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer Science+Business Media LLC 2011
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发表于 2025-3-21 21:40:54 | 显示全部楼层
https://doi.org/10.1007/978-1-4419-7976-6R scripts; numerical ecology; practicals
发表于 2025-3-22 04:06:12 | 显示全部楼层
Daniel Borcard,Francois Gillet,Pierre LegendrePractical guide to Numerical Ecology by leaders of the field.All examples are extensively commented.Complete data sets, functions and scripts are provided.Includes supplementary material:
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Daniel Borcard,François Gillet,Pierre Legendre RNN modeling technique is introduced to efficiently determine the training waveform distribution and internal RNN structure during the offline training process. Through two examples it’s demonstrated that the trained time domain neural network model provides fast EM solutions with variable values of the geometrical parameter in the model.
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