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Statistical Methods for Geography [Hardcover]

Peter A. Rogerson (Author)
2.6 out of 5 stars  See all reviews (7 customer reviews)


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Book Description

January 8, 2001 0761962875 978-0761962878 1

Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. It provides an integrated overview of spatial data and spatial data analysis.

Key features include:

- An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography.

- An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in areal data.



Editorial Reviews

Review

`Peter Rogerson has provided us with an accessible introduction to the main statistical procedures used by geographers, along with valuable illustrations of how these can be applied using SPSS dor Windows. As a primer in statistical analysis for geographers it will be widely used and appreciated' - Professor Ron Johnston University of Bristol

About the Author

Peter A. Rogerson is Professor of Geography and holds an adjunct appointment in the Department of Biostatistics, at the University at Buffalo, USA.

Product Details

  • Hardcover: 248 pages
  • Publisher: Sage Publications Ltd; 1 edition (January 8, 2001)
  • Language: English
  • ISBN-10: 0761962875
  • ISBN-13: 978-0761962878
  • Product Dimensions: 9.9 x 6.8 x 0.8 inches
  • Shipping Weight: 1.3 pounds
  • Average Customer Review: 2.6 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #6,412,179 in Books (See Top 100 in Books)

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Customer Reviews

7 Reviews
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4 star:    (0)
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Average Customer Review
2.6 out of 5 stars (7 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

3 of 3 people found the following review helpful:
1.0 out of 5 stars Bad errors = bad book, October 19, 2007
By 
Jane Err (Northern Virginia) - See all my reviews
Our graduate school is using the version of this book (2d edition, reprinted 2007)for the first time this semester (fall 2007). There are SO many errors, the professor has stopped assigning the book's problems without checking them first. Even the examples and the text are rife with mistakes. There is no erratum listed at the publishers web site to aid the poor souls befuddled by this material. The other big problem with the book is that there are no answers presented for the problems at the end of the chapters, so a student has to wait for the instructor to provide the correct answers. So someone purchasing this book without the benefit of being in school is flat out of luck. There is nothing worse than being faced with a difficult topic and never knowing if it is because the publisher/author were sloppy or if the student has not yet grasped the subject. The biggest irony is that this book has been reprinted every year, except for one, since 2001 (six reprints!). Maybe the publisher/author are correcting only a few problems in each version and hopefully can get it right by the 20th reprinting...
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5 of 6 people found the following review helpful:
1.0 out of 5 stars Frustrating Book, April 3, 2005
Unless you are proficient in statistics, this book will be very frustrating for students. I have trouble finding adequate explanations and definitions, and I am supposed to know this stuff. Their are numerous editing mistakes which adds to the students frustration, and could someone provide an answer key to the assignments. It reinforces the inability of some to understand how and what students need to learn.
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2 of 2 people found the following review helpful:
2.0 out of 5 stars Not so good, October 7, 2005
By 
Like another reviewer said, this book leave a lot of holes for the reader to figure out. The text is confusing, there are a number of mistakes in the numbers, and I find it easier to Google some of the topics rather than try to figure out what Rogerson is trying to say in the text.
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Inside This Book (learn more)
First Sentence:
method, from the initial attempts to organize ideas about a subject to the building of a theory. Suppose that we are interested in describing and explaining the spatial pattern of cancer cases in a metropolitan area. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
auto travel time, swimming frequencies, swimming frequency, commuting data, added variable plots, nearest neighbor statistic, true regression line, areal unit problem, original coin, spatial sample, spatial autocorrelation, spatial data analysis, regional values
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Erie County, Error Beta, Error Adjusted of the Model, Sum of Mean Model Squares, Variables Variables Model Entered Removed Method, Log Likelihood, Mean Std, Square Estimate, United States, Choose Analyze, Coefficient Standard, Extraction Method, Mean Standard, Pearson Correlation, Principal Component Analysis
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