Statistical methods for geography
著者
書誌事項
Statistical methods for geography
Sage Publications, c2001
- : pbk
大学図書館所蔵 全5件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliography (p. [229]-232) and index
内容説明・目次
内容説明
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
目次
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
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