Introductory Multivariate Statistics for the Environmental Science - Softcover

Shaw, Peter J. A.

Softcover

ISBN 10: 0470689234 ISBN 13: 9780470689233

Publisher: Wiley, 2009

Synopsis

A complete introduction to multivariate statistics for environmental science

Introductory Multivariate Statistics for the Environmental Science is a targeted text for those who are dealing with data collected in the field from environmental sources. Rather than describe in detail the mathematics behind multivariate statistical analysis, the book focuses on the application of analysis to real-world situations. After first providing a broad overview of what multivariate statistics is, the book goes on to cover topics such as measurements of ecological diversity, linear regression, ordination, principal components analysis, correspondence analysis, classification, and various other multivariate techniques.

About this title

From the Back Cover:

This book introduces the most commonly used techniques for dealing with multivariate data; the sort of multi-species multi-chemical data sets that are routinely encountered in environmental investigations. It assumes prior knowledge of multivariate analyses and requires no mathematics beyond simple linear equations. The topics covered include diversity indices, multiple regression, cluster analysis, and the commoner ordination techniques (principal components analysis, detreded correspondance analysis and canonical correspondence analysis). Other less used ordinations (Bray-Curtis, Correspondence Analysis) are where this helps understanding of the most commonly used techniques. Where suitable, the author shows how to construct biplots and triplots, and how to run Monte-Carlo testing. Each technique is illustrated by worked examples using simple, familiar data sets, and the key features of the output from standard software packages is explained. Pitfalls for the unwary are highlighted wherever they occur. Appendices list and explain the acronyms that can make some published research impenetrable. The availablity of each multivariate techlnique in all major software packages is listed, to help users choose the software suitable for them. The overall aim of the book is to introduce inexperienced users gently to the multivariate analytical tools available to them.

About the Author:

Peter J. A. Shaw is the author of Introductory Multivariate Statistics for the Environmental Science, published by Wiley.

About this edition

• Publisher: Wiley
• Publication date: 2009
• ISBN 10: 0470689234
• ISBN 13: 9780470689233
• Binding: Paperback
• Edition number: 1
• Number of pages: 244