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STATISTICAL METHODS FOR GEOGRAPHY: A STUDENTS GUIDE By Peter A Rogerson *VG+*
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“Book is in Very Good Condition. Text will be unmarked. May show some signs of use or wear. Will ”... Read moreabout condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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eBay item number:186918743558
Item specifics
- Condition
- Very Good
- Seller Notes
- ISBN-10
- 1446295737
- Book Title
- Statistical Methods for Geography: A Students Guide
- ISBN
- 9781446295731
About this product
Product Identifiers
Publisher
SAGE Publications, The Limited
ISBN-10
1446295737
ISBN-13
9781446295731
eBay Product ID (ePID)
203430839
Product Key Features
Number of Pages
424 Pages
Publication Name
Statistical Methods for Geography : a Student's Guide
Language
English
Subject
Earth Sciences / Geography, Human Geography, Probability & Statistics / General
Publication Year
2015
Type
Textbook
Subject Area
Mathematics, Social Science, Science
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
26.1 Oz
Item Length
9.1 in
Item Width
7.4 in
Additional Product Features
Edition Number
4
Intended Audience
College Audience
LCCN
2014-931420
Reviews
At a time where spatial quantitative methods (again) are of increasing importance to all concerned with geographical analysis, Rogerson's book is a nicely structured, well explained and up-to-date introduction to and survey of statistical methods in geography and the reasoning behind the techniques., Statistics has become critically important in contemporary geographical analysis. Statistical literacy is one of the graduate attributes with which universities prepare their geography students. Statistical Methods for Geography - A Student's Guide by Peter A. Rogerson provides a fundamental and accessible statistics textbook tailored for geography with well-designed illustrations and exercises. It is suitable for students of geography at all levels., In this 4th edition of what is now becoming a classic text, Professor Rogerson provides us with the most up-to-date and comprehensive treatment of basic statistics for geographers. He does so in a very user friendly manner with informative, real-world data sets that bring the statistics to life. This is a book I will certainly use for teaching undergraduate statistics and recommend it very highly. A really useful text for which the author is to be congratulated., Statistics has become critically important in contemporary geographical analysis. Statistical literacy is one of the graduate attributes with which universities prepare their geography students. Statistical Methods for Geography - A Student's Guideby Peter A. Rogerson provides a fundamental and accessible statistics textbook tailored for geography with well-designed illustrations and exercises. It is suitable for students of geography at all levels., In its previous editions, this book provided an outstanding introduction to statistics for geographers or anyone working with geographical data. The explanations of techniques and the examples and practical exercises are all excellent. This latest edition now incorporates material on a number of new topics such as statistical power and ways of measuring distance, and also includes new and timely example datasets from a variety of geographical locations. Its unique breadth of coverage of statistical ideas and examples make this an excellent choice as a key text for teaching quantitative techniques. I have no hesitation in recommending this book.
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
910.72//7
Table Of Content
Introduction to Statistical Methods for GeographyDescriptive StatisticsProbability and Discrete Probability DistributionsContinuous Probability Distributions and Probability ModelsInferential Statistics: Confidence Intervals, Hypothesis Testing, and SamplingAnalysis of VarianceCorrelationIntroduction to Regression AnalysisMore on RegressionSpatial PatternsSome Spatial Aspects of Regression AnalysisData Reduction: Factor Analysis and Cluster AnalysisEpilogue
Synopsis
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., Brand-new edition of the essential resource adopted on modules in statistical analysis, statistical methods and quantitative geography worldwide. Now fully integrated with online self-assessment exercises and downloadable data sets.
LC Classification Number
G70.3
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- y***e (86)- Feedback left by buyer.Past monthVerified purchasePerfect seller
- 5***7 (6)- Feedback left by buyer.Past monthVerified purchaseNice
- s***m (25)- Feedback left by buyer.Past monthVerified purchaseThe book they shipped is showing as coming from Amazon. If I had wanted to order from Amazon, I would have ordered from Amazon. I don't even have the book I ordered yet, but already know I will never buy from this seller again.