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Practical Statistics for Geographers and Earth Scientists

Practical Statistics for Geographers and Earth Scientists is a text that all students can work through, regardless of their geography or earth science stream degree pathway and their existing mathematical knowledge. The text demystifies the mathematical component of statistics and presents these techniques in an easy-to-understand fashion. Case studies that illustrate the workings of each technique through photographs and diagrams will help students visualize some of the processes involved. Also covered in the book is a clear explanation of how statistical software packages work.

Informations détaillées sur le livre - Practical Statistics for Geographers and Earth Scientists


EAN (ISBN-13): 9780470849149
ISBN (ISBN-10): 0470849142
Version reliée
Livre de poche
Date de parution: 2011
Editeur: John Wiley & Sons Inc
416 Pages
Poids: 0,907 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2008-01-25T03:54:08+01:00 (Paris)
Page de détail modifiée en dernier sur 2023-08-12T14:22:32+02:00 (Paris)
ISBN/EAN: 0470849142

ISBN - Autres types d'écriture:
0-470-84914-2, 978-0-470-84914-9
Autres types d'écriture et termes associés:
Titre du livre: practical statistics for geographers earth scientists, the whole earth, geo


Données de l'éditeur

Auteur: Nigel Walford
Titre: Practical Statistics for Geographers and Earth Scientists
Editeur: John Wiley & Sons
440 Pages
Date de parution: 2011-01-07
Poids: 0,924 kg
Langue: Anglais
139,00 € (DE)
No longer receiving updates
168mm x 244mm x 28mm

BB; gebunden; Hardcover, Softcover / Geowissenschaften/Allgemeines, Lexika; Geowissenschaften, Geographie, Umwelt, Planung; Geographie; Geography; Earth Sciences; Geowissenschaften; Allg. Geographie; Allg. Geowissenschaften; BC

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.

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