Good statistical practice for natural resources research / edited by Roger Stern, Statistical Services Centre, University of Reading, UK, Richard Coe, World Agroforestry Centre (ICRAF), Nairobi, Kenya, Eleanor Allan, Statistical Services Centre, University of Reading, UK, and Ian Dale, Statistical Services Centre, University of Reading, UK.
Material type:
TextPublisher: Wallingford, Oxfordshire, UK : CABI, 2004Copyright date: 2004Description: 1 online resource (xviii, 388 pages) : illustrations, chartsContent type: - text
- computer
- online resource
- Natural resources -- Management -- Research
- Natural resources -- Management -- Research -- Statistical methods
- Research
- Information and Documentation
- Natural Resource Economics, (New March 2000)
- Natural Resources (General)
- Mathematics and Statistics
- Data analysis
- Data processing
- Natural resources
- Planning
- Research
- Resource management
- Statistical analysis
- AA500
- CC300
- EE115
- PP000
- ZZ100
- 333.7/07/27 23
- HC85 .G66 2004eb
This book provides a practical guide to using statistics in natural resources research. It discusses both biophysical and socioeconomic aspects of research and may help bring them together, as is necessary for successful natural resource management (NRM). The topics covered include the types of study in NRM, research planning, data management, and modern methods of data analysis. This book will be of interest to advanced students and professionals in all disciplines in agriculture, forestry, rural development, environmental and related sciences. The book has 23 chapters and a subject index.
Includes bibliographical references and index.
What is Natural Resources Research? -- At Least Read This ... -- Sidetracks -- Introduction to Research Planning -- Concepts Underlying Experiments -- Sampling Concepts -- Surveys and Studies of Human Subjects -- Surveying Land and Natural Populations -- Planning Effective Experiments -- Data Management Issues and Problems -- Use of Spreadsheet Packages -- The Role of a Database Package -- Developing a Data Management Strategy -- Use of Statistical Software -- Analysis : Aims and Approaches -- The DIY Toolbox : General Ideas -- Analysis of Survey Data -- Analysis of Experimental Data -- General Linear Models -- The Craftsman's Toolbox -- Informative Presentation of Tables, Graphs and Statistics -- Current Trends and their Implications for Good Practice -- Resources and Further Reading.
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