
Statistical Techniques in Geographical Analysis
Routledge (Publisher)
3rd Edition
Published on 8. October 2015
Book
Hardback
354 pages
978-1-138-12868-2 (ISBN)
Description
This volume includes changes in the switch from DOS-based to Windows-based, menu-driven forms of SPSS and MINITAB is the most important. The other change shows availability of data in digital form from websites or via CD-ROMs. The book is useful for teachers and students.
More details
Edition
3rd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Professional Practice & Development
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 24 mm
Weight
794 gr
ISBN-13
978-1-138-12868-2 (9781138128682)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Dennis Wheeler | Gareth Shaw | Stewart Barr
Statistical Techniques in Geographical Analysis
E-Book
07/2013
3rd Edition
Routledge
€58.99
Available for download

Dennis Wheeler | Gareth Shaw | Stewart Barr
Statistical Techniques in Geographical Analysis
E-Book
07/2013
3rd Edition
Routledge
€59.49
Available for download

Dennis Wheeler | Gareth Shaw | Stewart Barr
Statistical Techniques in Geographical Analysis
Book
09/2004
3rd Edition
David Fulton Publishers Ltd
€71.98
Shipment within 3-4 weeks
Persons
Dennis Wheeler, Gareth Shaw and Stewart Barr
Content
1. Introduction 2. An introduction to mathematical statistics and computer applications 3. Geographical sources, data collection and data handling 4. Measurement and descriptive statistics 5. Probability and probability distributions 6. Samples and populations 7. Testing hypotheses using parametric and non-parametric data 8. Methods of correlation analysis 9. Simple linear and non-linear regression 10. Multiple regression and correlation 11. Factor analysis and related techniques 12. Cluster analysis 13. Spatial indices and pattern analysis