Statistical methods for geography : a student's guide / Peter A. Rogerson.
Material type:
TextPublisher: Los Angeles : SAGE, 2020Edition: Fifth editionDescription: xxii, 405 pages : illustrations ; 23 cmContent type: - text
- unmediated
- volume
- 9781526498809
- 23 910.727 R633s
- G70.3 .R64 2020
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
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Main Library | Circulation Section | CIR 910.727 R633s 2020 (Browse shelf(Opens below)) | 1-1 | Available | 031020 |
Includes bibliographical references and index.
Introduction to statistical methods for geography -- Descriptive statistics -- Probability and discrete probability distributions -- Continuous probability distributions and probabilities models -- Inferential statistics: confidence intervals, hypothesis testing, and sampling -- Analysis of variance -- Correlation -- Data reduction: factor analysis and cluster analysis -- Introduction to regression analysis -- More on regression -- Introduction to spatial patterns and spatial regression -- Epilogue -- Answers for elected exercises.
"Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics '101' focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: ·Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. ·New examples from physical geography and additional real-world examples. ·Updated in-text and online exercises along with downloadable datasets. This is the only text you'll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography."-- Editor's website
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