Nigel Walford

Practical Statistics for Geographers and Earth Scientists

• Gebundenes Buch

Produktbeschreibung

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.

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Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book helps students to gain the level of competence in statistical procedures necessary for independent investigations, field-work and other projects. The aim is to explain statistical techniques using data relating to relevant geographical, geospatial, earth and environmental science examples, employing graphics as well as mathematical notation for maximum clarity. Advice is given on asking the appropriate preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical guide to making the transition from understanding principles of spatial and non-spatial statistical techniques to planning a series analyses and generating results using statistical and spreadsheet computer software.

Learning outcomes included in each chapter
International focus
Explains the underlying mathematical basis of spatial and non-spatial statistics
Provides an geographical, geospatial, earth and environmental science context for the use of statistical methods
Written in an accessible, user-friendly style
Datasets available on accompanying website at www.wiley.com/go/Walford

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 440
• Erscheinungstermin: 25. Januar 2011
• Englisch
• Abmessung: 249mm x 173mm x 28mm
• Gewicht: 920g
• ISBN-13: 9780470849149
• ISBN-10: 0470849142
• Artikelnr.: 20801055

Autorenporträt

Nigel Walford has taught Geographical Information Systems courses at Kingston University for 12 years and previously worked in the Data Archive at Essex University. He graduated from the University of Sussex and did his postgraduate work at the University of London. His thematic research interests relate mainly to rural issues and include agriculture, land use planning and population. Recent book publications include Geographical Data Analysis and Reshaping the Countryside: Perceptions and Processes of Rural Change as well as several journal articles in Health and Place, Geography, Planning Practice and Research, Applied Geography and International Journal of Population Geography.

Inhaltsangabe

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. Plate section: Statistical Analysis
Planner and Checklist falls between pages 172 and 173.