Multivariate Analysis of Ecological Data using CANOCO

排序 多元统计 计算机科学 多元分析 领域(数学) 环境数据 数据挖掘 数据科学 生态学 机器学习 数学 生物 纯数学
作者
Jan Lepš,Petr Šmilauer
标识
DOI:10.1017/cbo9780511615146
摘要

This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.

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