Good Statistical Practice for Natural Resources Research
Author(s): R. D. Stern (Editor), R. Coe (Editor), E. Allan (Editor), Ian Dale (Editor)
Publisher: CABI Publishing
Publication Date: 25 May 2004
Edition: 1st
Language: English
Print length: 416 pages
ISBN-10: 9780851997223
ISBN-13: 9780851997223
Book Description
This book provides a practical approach to applying statistics to a wide variety of studies or projects. It will help bring together the biophysical and socioeconomic aspects, that are increasingly seen as integral to successful natural resources management. The topics covered include types of study in NRM, planning, data management and analysis. The book has been written for advanced students and professionals in all disciplines in agriculture, forestry, rural development, environmental and related sciences.
Editorial Reviews
Review
“Although this book is based on a series of guides written for scientists conducting natural resources research, it is relevant to a much wider audience. In particular, advanced students and professionals with an interest in the disciplines of agriculture, forestry, rural development and environmental and related sciences will find the advice and case studies presented in the book useful…. Many of the issues raised, in particular aspects of data management, would be relevant to many types of research projects. The book would also be extremely useful as a guide to any team member participating in a natural resources research project.”– “Significance”
“This book is a compilation of beautiful literary contributions made by some of the more famous people in the field of environmental and natural resources research. It is truly a timely and treasured work of art that needs to be on the bookshelf of every environmentalist and natural resources research officer. Every library should possess a copy of this text. It can serve both as a text or a reference for both undergraduate and postgraduate students.”–Isaac Dialsingh
“This book is a valuable reference guide to advanced students and professionals in agricultural research and development, including those in forestry and environmental sciences. It should be particularly helpful to research managers and biometricians.”– “Experimental Agriculture”
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