Description

Research projects are among the core components of many undergraduate and Masters degrees within environmental science and physical geography, and students increasingly undertake courses in quantitative research methodology before starting on their own assignment. This one-stop-shop text guides students through their research project from the initial stages of choosing a suitable topic, of conducting the relevant experiments and interpreting the data, through to effective presentation of the results.
  • Takes a case-study approach to illustrate the range of environmental science topics, with cases supplied by specialists in the field.
  • Practical worked examples and self-assessment tasks illustrate key statistical and mathematical points so as to keep heavy theory to a minimum
  • Covers software such as Excel, SPSS and mathematical modelling, and includes statistical tables

Student Projects in Environmental Science

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£32.95

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Paperback / softback by Stuart Harrad , Lesley Batty

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Short Description:

Research projects are among the core components of many undergraduate and Masters degrees within environmental science and physical geography, and... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 09/05/2008
    ISBN13: 9780470845660, 978-0470845660
    ISBN10: 047084566X

    Number of Pages: 176

    Non Fiction , Dictionaries, Reference & Language

    Description

    Research projects are among the core components of many undergraduate and Masters degrees within environmental science and physical geography, and students increasingly undertake courses in quantitative research methodology before starting on their own assignment. This one-stop-shop text guides students through their research project from the initial stages of choosing a suitable topic, of conducting the relevant experiments and interpreting the data, through to effective presentation of the results.
    • Takes a case-study approach to illustrate the range of environmental science topics, with cases supplied by specialists in the field.
    • Practical worked examples and self-assessment tasks illustrate key statistical and mathematical points so as to keep heavy theory to a minimum
    • Covers software such as Excel, SPSS and mathematical modelling, and includes statistical tables

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