Student Projects in Environmental Science

Name: Student Projects in Environmental Science
Price: 9.89 USD
Availability: InStock
ISBN: 9780470845660

ISBN-10: 047084566X

ISBN-13: 9780470845660

Edition: 2008

Authors: Stuart Harrad, Lesley Batty, Miriam Diamond, George Arhonditsis, George Arhonditsis

List price: $63.95

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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…

Book details

List price: $63.95
Copyright year: 2008
Publisher: John Wiley & Sons, Incorporated
Publication date: 6/9/2008
Binding: Paperback
Pages: 176
Size: 6.73" wide x 9.69" long x 0.42" tall
Weight: 0.726



Preface


Acknowledgement



General strategies for completing your research project successfully



Introduction - why is this book necessary?



What on earth am I going to do for my research project?



Fundamentals of scientific research, the generation and testing of hypotheses (see also chapter 4)



What constitutes research? Distinguishing between monitoring and research



Project planning



Conducting your project safely



How to conduct a literature review (see also chapter 7)



How to be a research student



How to manage your supervisor



Summary



Gathering your data



Different types of data



Designing an experimental research project



How reliable are your data?



How to summarise your data



Descriptive statistics



Probabilities and data distributions



Choosing the appropriate statistical test



Testing hypotheses



Coincidence or causality?



Relationships and differences



Testing for differences



Spotting relationships



Linear regression - to what extent does one factor influence another?



Multiple linear regression - to what extent is a given variable influenced by a range of other variables?



Non-linear regression



Pattern recognition



Making sense of past, present and future systems - mathematical modeling



What is a model?



Functions of models



Which type of model should I use?



How do I build a model?



Steps in developing a model



Illustrative case study



Presenting your work



Getting started - strategies for successful writing



How to write your dissertation



How to represent graphically your data



How to cite references



How to defend your work in an oral exam



How to make effective oral presentations



Summary


Index