Statistical methods for geography : a student's guide
Author(s)
Bibliographic Information
Statistical methods for geography : a student's guide
SAGE, 2010
3rd ed
- : hbk
- : pbk
Available at 8 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. [338]-342) and index
Description and Table of Contents
Description
'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
Table of Contents
Preface to the Second Edition
Preface to the Third Edition
Introduction to Statistical Methods for Geography
Descriptive Statistics
Probability and Discrete Probability Distributions
Continuous Probability Distributions and Probability Models
Inferential Statistics: Confidence Intervals, Hypothesis Testing and Sampling
Analysis of Variance
Correlation
Introduction to Regression Analysis
More on Regression
Spatial Patterns
Some Spatial Aspects of Regression Analysis
Data Reduction: Factor Analysis and Cluster Analysis
Epilogue
Appendix A: Statistical Tables
Table A.1 Random Digits
Table A.2 Normal Distribution
Table A.3 Student's t-Distribution
Table A.4 Cumulative t-Distribution
Table A.5 F-Distribution
Table A.6 X2 Distribution
Appendix B: Mathematical Conventions and Notation
B.1 Mathematical Conventions
B.2 Mathematical Notation
Appendix C: Review and Extension of Some Probability Theory
C.1 Expected Values
C.2 Variation of a Random Variable
C.3 Covariance of Random Variables
by "Nielsen BookData"