Introducing Quantitative Geography
Measurement, Methods and Generalised Linear Models
Published on 9. October 2005
384 pages
978-1-134-98780-1 (ISBN)
Description
The purpose of quantitative geography is to train geographers in numeracy and in the vital skills of data collection, processing and interpretation.
Introducting Quantitative Geography describes quantification from first principles to cover all the key elements of quantitative geography. No previous knowledge of statistical procedures is assumed. Worked examples and computer analyses are used to explain measurement, scale, description, models and modelling. Building on this, the book explores and clarifies the intellectual and practical problems presented by numerical and technological advances in the field.
Introducting Quantitative Geography describes quantification from first principles to cover all the key elements of quantitative geography. No previous knowledge of statistical procedures is assumed. Worked examples and computer analyses are used to explain measurement, scale, description, models and modelling. Building on this, the book explores and clarifies the intellectual and practical problems presented by numerical and technological advances in the field.
Reviews / Votes
`The book is well-written and produced, and can be confidently recommended to any geographer seeking a guide to the technicalities of quantitative geography.' - GeographyMore details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Product notice
Reflowable
File size
1,72 MB
ISBN-13
978-1-134-98780-1 (9781134987801)
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Schweitzer Classification
Other editions
Additional editions
Book
06/1992
1st Edition
Routledge
€174.70
Shipment within 15-20 days
Book
06/1992
1st Edition
Routledge
€54.10
Shipment within 15-20 days
Content
Preface 1. Introduction Part I 2. Describing Geographical Data 3. Measuring Geographical Data 4. Summarising Geographical Data 5. Descriptive Models and Geographical Data 6. Statistical Reference Part II 7. Towards Integration: Generalised Linear Models 8. Generalised Linear Models for Continuous Data 9. Generalised Linear Models for Categorical Data 10. Some Extensions and Specialised Topics 11. Summary and Conclusions
