Statistical Methods for Geography: A Student's Guide

Rogerson, Peter A.

ISBN 10: 1412907969 / ISBN 13: 9781412907965

Published by SAGE Publications Ltd, 2006

About this Item

This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket.

Seller Inventory # mon0000288933

Bibliographic Details

• Title: Statistical Methods for Geography: A Student's Guide
• Publisher: SAGE Publications Ltd
• Publication Date: 2006
• Language: English
• ISBN 10: 1412907969
• ISBN 13: 9781412907965
• Binding: Paperback
• Edition: 2nd Edition
• Condition: Acceptable

About this title

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.

About the Author

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.