Statistical Techniques in Geographical Analysis

by Gareth Shaw (Author), Dennis Wheeler (Author), StewartBarr (Author)

• Used

  Paperback
  2004

  $3.36

  Applying statistical techniques for geogrphical data collection and analysis can be a difficult and challenging process, especially for students who have not studied formal mathematics for many years. Assumning no more knowledge than basic GCSE maths, this book provides a gentle introduction on how to confidently approach a wide range of methids and apply them in either one or both of the leading software statistical packages, SPSS and MINITAB. Statistical Techniques in Geographic Analysis provides a significant number of practical examples tht ensure understanding and promote further development. The book covers the four key areas of univariate, bivariate, multivariate and spatial techniques. Statistical Techniques in Geographic Analysis also includes a CDROM that offers students the chance to practice their application of each method in either MINITAB or SPSS.

• Used

  Paperback
  1990

  $8.20

  This is the second edition of this undergraduate textbook. It is shorter than its predecessors, but now contains a thorough treatment of computational methods. Assuming no more than a good GCSE pass grade, the author covers the range of statistical techniques used by geographers, from simple descriptive techniques to parametric and non-parametric methods in bivariate and multivariate settings. Each technique is introduced manually, followed up by the appropriate application, using either the SPSS or MINITAB software packages - the two statistical packages most widely used by geographers.

• New

  Paperback
  2004

  $46.04

  Applying statistical techniques for geogrphical data collection and analysis can be a difficult and challenging process, especially for students who have not studied formal mathematics for many years. Assumning no more knowledge than basic GCSE maths, this book provides a gentle introduction on how to confidently approach a wide range of methids and apply them in either one or both of the leading software statistical packages, SPSS and MINITAB. Statistical Techniques in Geographic Analysis provides a significant number of practical examples tht ensure understanding and promote further development. The book covers the four key areas of univariate, bivariate, multivariate and spatial techniques. Statistical Techniques in Geographic Analysis also includes a CDROM that offers students the chance to practice their application of each method in either MINITAB or SPSS.