Statistical Methods for Geography: A Student's Guide

Statistical Methods for Geography: A Student's Guide

by PeterA.Rogerson (Author)

Synopsis

'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 module on statistics.

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; downloadable datasets with British and North American examples;

- SPSS for Windows and EXCEL used to illustrate the applied use of the methods.

$3.45

Quantity

2 in stock

More Information

Format: Paperback
Pages: 320
Edition: Second
Publisher: SAGE Publications Ltd
Published: 18 Jan 2006

ISBN 10: 1412907969
ISBN 13: 9781412907965

Media Reviews
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.
Author Bio
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?).