Statistical Methods for Geography

A Student’s Guide

Nonfiction, Science & Nature, Science, Earth Sciences, Geography, Social & Cultural Studies, Social Science, Human Geography
Cover of the book Statistical Methods for Geography by Peter A Rogerson, SAGE Publications
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Author: Peter A Rogerson ISBN: 9781473911109
Publisher: SAGE Publications Publication: November 17, 2014
Imprint: SAGE Publications Ltd Language: English
Author: Peter A Rogerson
ISBN: 9781473911109
Publisher: SAGE Publications
Publication: November 17, 2014
Imprint: SAGE Publications Ltd
Language: English

How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout.

Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module:

  • Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis.
  • Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques.
  • Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets.

It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout.

Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module:

It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.

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