Good Statistical Practice for Natural Resources Research

About this book

Explains the ideas and tools needed to design studies and analyse data in an intuitive way that does not rely on mathematics. It describes and attempts to synthesise both biophysical and socioeconomic aspects of research.

Contents

Introduction: what is natural resources research?; the role of statistics; keeping focused. Planning: NR research planning; concepts underlying experiments; sampling concepts; learning from people; surveys of land and natural populations; designing effective NR experiments. Data Management: data management issues and problems; use of spreadsheet packages; the role of a database package; developing a data management strategy; statistical software - moving from management to analysis. Analysis: analysis aims and approaches; the DIY toolbox - general ideas; analysis of survey data; analysis of experimental data; general linear models; the craftsman's toolbox; information presentation of tables, graphs and statistics. Where next?: sharing data; adopting methodological advances; improving training; useful resources. (Part contents.)

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