| 书目名称 | Numerical Ecology with R |
| 编辑 | Daniel Borcard,François Gillet,Pierre Legendre |
| 视频video | |
| 概述 | Offers an up-to-date, practical guide to numerical ecology from leaders in the field.Provides complete data sets, functions and scripts.Includes examples with extensive commentaries |
| 丛书名称 | Use R! |
| 图书封面 |  |
| 描述 | .This new edition of .Numerical Ecology with R. guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the |
| 出版日期 | Book 2018Latest edition |
| 关键词 | Numerical Ecology; R Language; R Code; Ecology; Environmental Science; Data Analysis; Cluster Analysis; Unc |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-319-71404-2 |
| isbn_softcover | 978-3-319-71403-5 |
| isbn_ebook | 978-3-319-71404-2Series ISSN 2197-5736 Series E-ISSN 2197-5744 |
| issn_series | 2197-5736 |
| copyright | Springer International Publishing AG, part of Springer Nature 2018 |
发表于 2025-3-21 18:43:44
