
Good Statistical Practice for Natural Resources Research
CABI Publishing
Published on 25. May 2004
Book
Paperback/Softback
416 pages
978-0-85199-722-3 (ISBN)
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.
More details
Language
English
Place of publication
Wallingford
United Kingdom
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 171 mm
Thickness: 23 mm
Weight
780 gr
ISBN-13
978-0-85199-722-3 (9780851997223)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Editor
Statistical Services Centre, University of Reading, UK
World Agroforestry Centre (ICRAF), Nairobi, Kenya
ICOPA Secretariat, Izmir, Turkey
Statistical Services Centre, University of Reading, UK
Content
Part 1: Introduction 1: What is Natural Resources Research? 2: At Least Read This... 3: Sidetracks Part 2: Planning 4: Introduction to Research Planning 5: Concepts Underlying Experiments 6: Sampling Concepts 7: Surveys and Studies of Human Subjects 8: Surveying Land and Natural Populations 9: Planning Effective Experiments Part 3: Data Management 10: Data Management Issues and Problems 11: Use of Spreadsheet Packages 12: The Role of a Database Package 13: Developing a Data Management Strategy 14: Use of Statistical Software Part 4: Analysis 15: Analysis - Aims and Approaches 16: The DIY Toolbox - General Ideas 17: Analysis of Survey Data 18: Analysis of Experimental Data 19: General Linear Models 20: The Craftsman's Toolbox 21: Informative Presentation of Tables, Graphs and Statistics Part 5: Where Next? 22: Current Trends and their Implications for Good Practice 23: Resources and Further Reading