Geographic Measurement and Quantitative Analysis
Robert J. Earickson, University of Maryland, Baltimore
John M. Harlin, Northern Illinois University

ISBN-10: 067521338X
ISBN-13: 9780675213387

Publisher: Prentice Hall
Copyright: 1994
Format: Paper; 350 pp
Published: 01/27/1994

Suggested retail price: $111.00
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The text does not assume set notation or calculus, and it presents a manageable body of topics and techniques for a one-semester or two-quarter course.

  • With a balance of human and physical examples, coverage of computer programs for solving numerical problems, and a practical focus on the working procedures of geographers, this text is a welcome choice for courses in geographic statistics and introductory quantitative methods. It is designed to instruct students in the methods that geographers apply—from the inception of a problem to the interpretation of results from statistical procedures.
  • Computer applications in SAS and SPSS-X — the most popular statistical program packages in the field—enable students to quickly and accurately solve problems for all techniques covered in the text; the volume of practice made possible by computer applications builds students' proficiency at solving numerical problems.

  • Illustrates techniques with both physical examples and human, social, or socioeconomic examples; this mix of examples varies the reading content for students and gives instructors a selection of material to match their areas of interest.
  • Works through example problems step-by-step — enabling students to easily replicate techniques using an entirely different data sample.
  • Technique boxes show fully worked sample problems for specific statistical techniques.
  • A chapter on graphing and mapping covers partitioning of data for graphic and tabular display—a skill students must develop in order to carry out statistical applications and communicate effectively in print.
  • Program commands for SAS and SPSS equip students to quickly and accurately solve problems for all techniques in the book; utilizing computers to solve numerical problems prepares students for graduate work and the job market.
  • Data sets of both physical and sociodemographic data are included—allowing instructors to construct and assign their own additional problems.



1. Science, Statistics, and Geographic Research.


2. Measurement and Sampling.


3. Graphing and Mapping Data.


4. Descriptive Statistics.


5. Probability and Probability Distributions.


6. Inferential Statistics and Hypotheses Involving Means.


7. One-Way Analysis of Variance.


8. Bivariate Correlation and Linear Regression.


9. Nonparametric Statistics.


Appendix Tables.


Answers to Selected Exercises.


List of Equations.

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