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Statistical Methods for Geography: A Student's Guide, by Peter A. Rogerson
Fee Download Statistical Methods for Geography: A Student's Guide, by Peter A. Rogerson
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"The First Edition of Statistical Methods for Geography provided an excellent introduction to the statistical analysis of spatial data. The second edition is even better - providing more material on probability and on descriptive statistics as well as more exercises. I would recommend this strongly as a text for introductory statistics courses in geography. It is currently the best on the market by far."
- A. Stewart Fotheringham, National University of Ireland, Maynooth
The Second Edition of this bestselling text has been completely revised and updated. It provides a systematic introduction to the principal methods and techniques that students must understand to complete a statistics course.
Features new to this edition include:
- More introductory material especially in a new chapter on descriptive statistics, and much-expanded introductory chapters
- More exercises and illustrative examples within the chapters
- SPSS for Windows and EXCEL used to illustrate the applied use of the methods
- A companion Web site for lecturers and students is available at www.sagepub.co.uk/rogerson. The password-protected lecturer section contains answers to questions from the book. There are also downloadable-datasets and study skills for students.
- Sales Rank: #1195441 in Books
- Brand: Brand: SAGE Publications Ltd
- Published on: 2006-01-27
- Original language: English
- Number of items: 1
- Dimensions: .69" h x 6.44" w x 9.14" l, 1.27 pounds
- Binding: Paperback
- 320 pages
- Used Book in Good Condition
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 for Windows. As a primer in statistical analysis for geographers it will be widely used and appreciated."
About the Author
I am Professor of Geography and Biostatistics at the University at Buffalo. My research interests are in the area of demography and population change, epidemiology, spatial statistics, and spatial analysis. My current work is focused upon the development of new methods for the quick detection of newly emergent clusters in geographic data (for example, how does one determine as quickly as possible whether there is a new cluster of crime or disease?).
Most helpful customer reviews
0 of 0 people found the following review helpful.
A very good book
By Yolanda Li
This is a very good statistic book. The book provides detailed information about applying statistics in geographical context. The book is easy to read, informative but not too extensive. Enough details are given for each concepts. The examples are extremely helpful in understand the principles of spatial issues. Some ideas in this book are creative and easy to use. It has it value in practise too. If you are interested in doing spatial statistics. This book will be a wonderful start point.
2 of 3 people found the following review helpful.
Difficult and Confusing Text
By K Anna Maria
I am using this book in a senior-level research methods course and my classmates and I are all very frustrated with it. It assumes you already know all of the methods, and even though I have a good statistics background, I am having difficulties. It is extremely time-consuming to work through, so expect to spend a very significant amount of time on each chapter. I do not recommend this book for any individual with little or no statistics knowledge, and I caution those who do know statistics.
6 of 7 people found the following review helpful.
Frustrating Book
By Paula Bischoff
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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