All Shops
We're still open for business - read our Brexit and Covid-19 statements

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £40 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £18 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Practical Statistics for Geographers and Earth Scientists

Textbook
By: Nigel Walford
440 pages, illus, figs
Practical Statistics for Geographers and Earth Scientists
Click to have a closer look
Select version
  • Practical Statistics for Geographers and Earth Scientists ISBN: 9780470849156 Paperback Jan 2011 Usually dispatched within 5 days
    £35.25
    #156836
  • Practical Statistics for Geographers and Earth Scientists ISBN: 9780470849149 Hardback Jan 2011 Usually dispatched within 5 days
    £100.75
    #156837
Selected version: £35.25
About this book Contents Customer reviews Related titles

About this book

This is a statistics textbook that all students can work through, regardless of their geography or earth science stream degree pathway and their existing mathematical knowledge. The main rationale for the book is to demystify the mathematical component of statistics and to present these techniques in a digestible fashion. This will be achieved through case studies that illustrate the workings of each technique, through photographs and diagrams that help students visualise some of the processes involved and through a clear explanation of how statistical software packages work.

Contents

Preface.
Acknowledgements.

Glossary.

Section 1 First principles.

1 What's in a number?

Learning outcomes.

1.1 Introduction to quantitative analysis.

1.2 Nature of numerical data.

1.3 Simplifying mathematical notation.

1.4 Introduction to case studies and structure of the book.

2 Geographical data: quantity and content.

Learning outcomes.

2.1 Geographical data.

2.2 Populations and samples.

2.3 Specifying attributes and variables.

3 Geographical data: collection and acquisition.

Learning outcomes.

3.1 Originating data.

3.2 Collection methods.

3.3 Locating phenomena in geographical space.

4 Statistical measures (or quantities).

Learning outcomes.

4.1 Descriptive statistics.

4.2 Spatial descriptive statistics.

4.3 Central tendency.

4.4 Dispersion.

4.5 Measures of skewness and kurtosis for nonspatial data.

4.6 Closing comments.

5 Frequency distributions, probability and hypotheses.

Learning outcomes.

5.1 Frequency distributions.

5.2 Bivariate and multivariate frequency distributions.

5.3 Estimation of statistics from frequency distributions.

5.4 Probability.

5.5 Inference and hypotheses.

5.6 Connecting summary measures, frequency distributions and probability.

Section 2 Testing times.

6 Parametric tests.

Learning outcomes.

6.1 Introduction to parametric tests.

6.2 One variable and one sample.

6.3 Two samples and one variable.

6.4 Three or more samples and one variable.

6.5 Con3 dence intervals.

6.6 Closing comments.

7 Nonparametric tests.

Learning outcomes.

7.1 Introduction to nonparametric tests.

7.2 One variable and one sample.

7.3 Two samples and one (or more) variable(s).

7.4 Multiple samples and/or multiple variables.

7.5 Closing comments.

Section 3 Forming relationships.

8 Correlation.

Learning outcomes.

8.1 Nature of relationships between variables.

8.2 Correlation techniques.

8.3 Concluding remarks.

9 Regression.

Learning outcomes.

9.1 Specifcation of linear relationships.

9.2 Bivariate regression.

9.3 Concluding remarks.

10 Correlation and regression of spatial data.

Learning outcomes.

10.1 Issues with correlation and regression of spatial data.

10.2 Spatial and temporal autocorrelation.

10.3 Trend surface analysis.

10.4 Concluding remarks.

References.

Further Reading.

Index.

Customer Reviews

Textbook
By: Nigel Walford
440 pages, illus, figs
Media reviews

Designed for students with all levels of math background, this book helps take the angst out of the mathematical part of statistics, and encourages students to gain the competence in statistical procedures needed for independent investigations, fieldwork, and other projects. (Booknews, 1 June 2011)

 

Current promotions
British WildlifeHarper Collins PublishersSeabirds The New Identification GuideOrder your free copy of our 2021 equipment catalogues