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Practical Statistics for Geographers and Earth Scientists
Nigel Walford (Gebundene Ausgabe, Englisch)
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Beschreibung
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 Dieses Produkt haben wir gerade leider nicht auf Lager.
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Bis zu 50 % günstiger als neu
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Technische Daten
Erscheinungsdatum
07.01.2011
Sprache
Englisch
EAN
9780470849149
Herausgeber
John Wiley & Sons
Sonderedition
Nein
Autor
Nigel Walford
Seitenanzahl
440
Einbandart
Gebundene Ausgabe
Schlagwörter
Geographie, Geography, Earth Sciences, Geowissenschaften
Thema-Inhalt
R - Geowissenschaften, Geographie, Umwelt, Planung
Inhaltsverzeichnis
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.
Höhe
244 mm
Breite
16.8 cm
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