Statistical analysis of geographical data : an introduction /: an introduction. (2017)
- Record Type:
- Book
- Title:
- Statistical analysis of geographical data : an introduction /: an introduction. (2017)
- Main Title:
- Statistical analysis of geographical data : an introduction
- Further Information:
- Note: Simon J. Dadson.
- Authors:
- Dadson, Simon J
- Contents:
- Title Page; Table of Contents; Preface; 1 Dealing with data; 1.1 The role of statistics in geography; 1.2 About this book; 1.3 Data and measurement error; Exercises; 2 Collecting and summarizing data; 2.1 Sampling methods; 2.2 Graphical summaries; 2.3 Summarizing data numerically; Exercises; 3 Probability and sampling distributions; 3.1 Probability; 3.2 Probability and the normal distribution: z?scores; 3.3 Sampling distributions and the central limit theorem; Exercises; 4 Estimating parameters with confidence intervals 4.1 Confidence intervals on the mean of a normal distribution: the basics4.2 Confidence intervals in practice: the t?distribution; 4.3 Sample size; 4.4 Confidence intervals for a proportion; Exercises; 5 Comparing datasets; 5.1 Hypothesis testing with one sample: general principles; 5.2 Comparing means from small samples: one?sample t?test; 5.3 Comparing proportions for one sample; 5.4 Comparing two samples; 5.5 Non?parametric hypothesis testing; Exercises; 6 Comparing distributions; 6.1 Chi?squared test with one sample; 6.2 Chi?squared test for two samples; Exercises; 7 Analysis of variance 7.1 One?way analysis of variance7.2 Assumptions and diagnostics; 7.3 Multiple comparison tests after analysis of variance; 7.4 Non?parametric methods in the analysis of variance; 7.5 Summary and further applications; Exercises; 8 Correlation; 8.1 Correlation analysis; 8.2 Pearson's product?moment correlation coefficient; 8.3 Significance tests of correlation coefficient;Title Page; Table of Contents; Preface; 1 Dealing with data; 1.1 The role of statistics in geography; 1.2 About this book; 1.3 Data and measurement error; Exercises; 2 Collecting and summarizing data; 2.1 Sampling methods; 2.2 Graphical summaries; 2.3 Summarizing data numerically; Exercises; 3 Probability and sampling distributions; 3.1 Probability; 3.2 Probability and the normal distribution: z?scores; 3.3 Sampling distributions and the central limit theorem; Exercises; 4 Estimating parameters with confidence intervals 4.1 Confidence intervals on the mean of a normal distribution: the basics4.2 Confidence intervals in practice: the t?distribution; 4.3 Sample size; 4.4 Confidence intervals for a proportion; Exercises; 5 Comparing datasets; 5.1 Hypothesis testing with one sample: general principles; 5.2 Comparing means from small samples: one?sample t?test; 5.3 Comparing proportions for one sample; 5.4 Comparing two samples; 5.5 Non?parametric hypothesis testing; Exercises; 6 Comparing distributions; 6.1 Chi?squared test with one sample; 6.2 Chi?squared test for two samples; Exercises; 7 Analysis of variance 7.1 One?way analysis of variance7.2 Assumptions and diagnostics; 7.3 Multiple comparison tests after analysis of variance; 7.4 Non?parametric methods in the analysis of variance; 7.5 Summary and further applications; Exercises; 8 Correlation; 8.1 Correlation analysis; 8.2 Pearson's product?moment correlation coefficient; 8.3 Significance tests of correlation coefficient; 8.4 Spearman's rank correlation coefficient; 8.5 Correlation and causality; Exercises; 9 Linear regression; 9.1 Least?squares linear regression; 9.2 Scatter plots 9.3 Choosing the line of best fit: the 'least?squares' procedure9.4 Analysis of residuals; 9.5 Assumptions and caveats with regression; 9.6 Is the regression significant?; 9.7 Coefficient of determination; 9.8 Confidence intervals and hypothesis tests concerning regression parameters; 9.9 Reduced major axis regression; 9.10 Summary; Exercises; 10 Spatial Statistics; 10.1 Spatial Data; 10.2 Summarizing Spatial Data; 10.3 Identifying Clusters; 10.4 Interpolation and Plotting Contour Maps; 10.5 Spatial Relationships; Exercises; 11 Time series analysis; 11.1 Time series in geographical research 11.2 Analysing time series11.3 Summary; Exercises; Appendix A: Introduction to the R package; A.1 Obtaining R; A.2 Simple calculations; A.3 Vectors; A.4 Basic statistics; A.5 Plotting data; A.6 Multiple figures; A.7 Reading and writing data; A.8 Summary; Appendix B: Statistical tables; References; Index; End User License Agreement … (more)
- Publisher Details:
- Chichester, West Sussex : John Wiley & Sons, Ltd
- Publication Date:
- 2017
- Copyright Date:
- 2017
- Extent:
- 1 online resource, illustrations
- Subjects:
- 910.72/7
Geography -- Statistical methods
SCIENCE -- Earth Sciences -- General
Geography -- Statistical methods
SCIENCE / Earth Sciences / Geography
TRAVEL / Budget
TRAVEL / Hikes & Walks
TRAVEL / Museums, Tours, Points of Interest
TRAVEL / Parks & Campgrounds
Electronic books - Languages:
- English
- ISBNs:
- 9781118525142
1118525140
9781118525111
1118525116 - Related ISBNs:
- 9780470977033
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on online resource; title from digital title page (viewed on March 29, 2017). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.134989
- Ingest File:
- 01_058.xml