Statistical Methods for Geography: A Student's Guide

Front Cover
SAGE, Jan 21, 2010 - Social Science - 368 pages

'This book provides students with everything they need to know in both a basic statistics course and also in introductory courses focused on spatial data analysis. It is extremely well-written, well-organised and has plenty of easily understood examples - really the ideal textbook. I recommend it extremely highly' - Stewart Fotheringham, Director, National Centre for Geocomputation National University of Ireland Maynooth

The Third Edition of this bestselling student favourite has again been revised and updated to provide an expert introduction to the principal methods and techniques needed to understand a statistics module.

Features new to this edition include:

- further introductory material

- updated exercises and illustrative examples

- updated downloadable datasets

 

Selected pages

Contents

1 Introduction to Statistical Methods for Geography
1
2 Descriptive Statistics
24
3 Probability and Discrete Probability Distributions
53
4 Continuous Probability Distributions and Probability Models
80
Confidence Intervals Hypothesis Testing and Sampling
107
6 Analysis of Variance
157
7 Correlation
183
8 Introduction to Regression Analysis
201
10 Spatial Patterns
257
11 Some Spatial Aspects of Regression Analysis
281
Factor Analysis and Cluster Analysis
297
Epilogue
316
Appendix
318
Bibliography
338
Index
343
Copyright

9 More on Regression
225

Other editions - View all

Statistical Methods for Geography: A Student's Guide
Peter A Rogerson
Limited preview - 2010
Statistical Methods for Geography: A Student's Guide
Peter A Rogerson
Limited preview - 2010

Common terms and phrases

analysis of variance ANOVA associated assuming assumption average binomial distribution cells central city choose column commuting confidence interval Continued correlation coefficient critical value data in Table dataset degrees of freedom difference distance error estimate example expected value F-statistic Figure geographic greater histogram households housing prices implies income independent variables individuals large number less likelihood linear mean center Mean square median methods move nearest neighbor neighborhood normal distribution Note null hypothesis number of bedrooms number of observations observed value outcomes p-value pattern percentage of ward Poisson distribution population probability proportion random variable randomly region regression analysis regression equation regression line reject the null residuals sample mean significant slope Solution SPSS squares df standard deviation study area suburbs sum of squares swimming frequencies t-test take the train test statistic test the null two-sample two-tailed Type I error y-coordinates z-scores zero

About the author (2010)

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?).

Bibliographic information

TitleStatistical Methods for Geography: A Student's Guide
AuthorPeter A Rogerson
PublisherSAGE, 2010
ISBN1446245152, 9781446245156
Length368 pages
Subjects › 

Social Science / Statistics
  
Export CitationBiBTeX EndNote RefMan