Rogerson, P: Statistical Methods for Geography
(Sprache: Englisch)
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,...
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Klappentext zu „Rogerson, P: Statistical Methods for Geography “
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.
Inhaltsverzeichnis zu „Rogerson, P: Statistical Methods for Geography “
Introduction to Statistical Methods for GeographyDescriptive Statistics
Probability and Discrete Probability Distributions
Continuous Probability Distributions and Probability Models
Inferential Statistics: Confidence Intervals, Hypothesis Testing, and Sampling
Analysis of Variance
Correlation
Introduction to Regression Analysis
More on Regression
Spatial Patterns
Some Spatial Aspects of Regression Analysis
Data Reduction: Factor Analysis and Cluster Analysis
Epilogue
Autoren-Porträt von Peter A Rogerson
Peter A. Rogerson is SUNY (State University of New York) Distinguished Professor in the Department of Geography at the University at Buffalo, Buffalo, New York, USA. He also holds an adjunct appointment in the Department of Biostatistics and is a member of the National Center for Geographic Information and Analysis.
Bibliographische Angaben
- Autor: Peter A Rogerson
- 4th Edition, 424 Seiten, Masse: 18,4 x 23,1 cm, Taschenbuch, Englisch
- Verlag: Sage Publications Ltd.
- ISBN-10: 1446295737
- ISBN-13: 9781446295731
- Erscheinungsdatum: 18.12.2014
Sprache:
Englisch
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