Statistical Methods for Geography / Edition 1

Statistical Methods for Geography / Edition 1

by Peter A. Rogerson
Pub. Date:
SAGE Publications


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Statistical Methods for Geography / Edition 1

Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. It provides an integrated overview of spatial data and spatial data analysis.

Key features include:

- An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography.

- An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in areal data.

Product Details

ISBN-13: 9780761962885
Publisher: SAGE Publications
Publication date: 08/01/1900
Series: Geography/Quantitative Methods Series
Edition description: Older Edition
Pages: 248
Product dimensions: 6.69(w) x 9.52(h) x (d)

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?).

Table of Contents

Introduction to Statistical Analysis in Geography
Probability and Probability Models
Hypothesis Testing and Sampling
Analysis of Variance
Introduction to Regression Analysis
More on Regression
Spatial Patterns
Some Spatial Aspects of Regression Analysis
Data Reduction
Factor Analysis and Cluster Analysis

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Statistical Methods for Geography 1 out of 5 based on 0 ratings. 1 reviews.
Guest More than 1 year ago
Anyone who is amazed and impressed with this book hasn't actually had to use it. Amazingly incomplete descriptions and definitions, with very frustrating editing errors; it causes more confusion than learning. There must be a better book than this on the subject!