Statistical methods for geography
Author(s)
Bibliographic Information
Statistical methods for geography
Sage Publications, c2001
- : pbk
Available at 5 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 bibliography (p. [229]-232) and index
Description and Table of Contents
Description
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. The text concludes with an overview of data reduction techniques
- Unlike other introductory primers, Statistical Methods for Geography includes self-assessment exercises - with downloadable data sets - at the end of each chapter. The use and application of statistical software - including SPSS - is discussed throughout.
Statistical Methods for Geography will be required reading for undergraduate modules in statistical analysis and a useful precis of techniques for post-graduate students
`Peter Rogerson has provided us with an accessible introduction to the main statistical procedures used by geographers, along with valuable illustrations of how these can be applied using SPSS for Windows. As a primer in statistical analysis for geographers it will be widely used and appreciated.' - Professor Ron Johnston, School of Geographical Sciences, University of Bristol
Table of Contents
Introduction to Statistical Analysis in Geography
Probability and Probability Models
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
by "Nielsen BookData"