An Introduction to Statistical Problem Solving in Geography (Hardcover)

by Jr.,J. Chapman McGrew (Author), Charles Monroe (Author)

Editorial Reviews

Product Description
Geography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and to solve realistic geographic problems. This book is designed to provide a comprehensive and understandable introduction to statistical methods in a practical, problem solving framework. Students who use this text in a spatial analysis or statistical methods course will acquire a well-grounded foundation and feel comfortable in applying statistical techniques in research problems or situations that they might encounter in their subsequent geographic education and careers.

This book is targeted for undergraduate geography majors and beginning graduate students who do not have a strong background in statistical approaches to geographic problem solving.

Product Details

• Hardcover: 264 pages
• Publisher: McGraw-Hill Science/Engineering/Math; 2 edition (August 10, 1999)
• Language: English
• ISBN-10: 0697229718
• ISBN-13: 978-0697229717
• Product Dimensions: 10.8 x 8.5 x 0.6 inches
• Shipping Weight: 1.8 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #399,035 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

2 of 2 people found the following review helpful:

4.0 out of 5 stars A must for any geography major or graduate student., February 19, 2006

By	Jacquelyn Gill "Reader By The Lake" (Madison, WI) - See all my reviews (REAL NAME)

This text was assigned for an intro-level statistics course I took that was required for geography majors. While the statistical methods covered in this text are not themselves geographical, they can be applied to geographic research in any of the subfields (human, spatial/cartographic, economic, physical, or people/environment).

All the basics of statistical problem solving are covered, including sampling methods and bias, descrptive statistics, inferential statistics, correlation, and regression. Examples are provided with a geographical context, to make the information relevant to students of geography. There is also a helpful epilogue entitled "Geogrphic Problem Solving in Pratical Solutions," which will be of interest to students with research goals.

The chapters are well-written, with ample narrative examples and clear and concise tables and diagrams. The student-directed list of "major goals and objectives" at the end of each chapter is also helpful, along with key terms (with page numbers) and additional references. My only (minor) complaint is that the black-and-white design of the content is occasionally tedious on the eyes, given the extent of narrative content, and the graphic presentations of the equations in-text makes it occasionally difficult to find what you're looking for quickly.

The second edition is an improvement over the first, with more examples and a much clearer format than the first. While this slim volume is a bit expensive new, I wouldn't recommend getting the first edition. As a geography grad student I continue to refer to this text, and have found it a worthwhile investment.

~ Jacquelyn Gill

3 of 10 people found the following review helpful:

5.0 out of 5 stars Estadisticas orientadas a la Geografia, Un Libro que todos.., March 23, 2002

By	Eliezer Nieves (San Juan, PR) - See all my reviews (REAL NAME)

This review is from: An Introduction to Statistical Problem Solving in Geography (Hardcover)

Pues tome este curso hace un ano y con el autor del mismo, Dr. Monroe en la Universidad de Akron, Ohio.
El libro cumple a cabalidad con su objetivo, el de introducir al estudiante de geografia y de otras areas al mundo de las estadisticas. Haciendo ver facil lo complicado el libro explica de manera clara y utilizando ejemplos de la vida real lo que le hace pertinente y util.
Es un libro que todos deberian tener de referencia para esos momentos de crisis estadisticalenxistenciales.