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Statistics for Geography and Environmental Science

Autor Richard Harris, Claire Jarvis
en Limba Engleză Paperback – 19 mai 2011
Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any student of geography or environmental science.
This textbook is aimed at students on a degree course taking a module in statistics for the first time. It focuses on analysing, exploring and making sense of data in areas of core interest to physical and human geographers, and to environmental scientists. It covers the subject in a broadly conventional way from descriptive statistics, through inferential statistics to relational statistics but does so with an emphasis on applied data analysis throughout.
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Specificații

ISBN-13: 9780131789333
ISBN-10: 0131789333
Pagini: 280
Dimensiuni: 189 x 246 x 15 mm
Greutate: 0.52 kg
Ediția:New.
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom

Cuprins

 
Preface
 
Chapter 1 Data, statistics and geography
 
Chapter 2 Descriptive statistics
 
Chapter 3 The Normal curve
 
Chapter 4 Sampling
 
Chapter 5 From description to inference
 
Chapter 6 Hypothesis testing
 
Chapter 7 Relationships and Explanations
 
Chapter 8    Detecting and managing spatial dependency
 
Chapter 9    Exploring spatial relationships
 

Descriere

Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any student of geography or environmental science.
This textbook is aimed at students on a degree course taking a module in statistics for the first time. It focuses on analysing, exploring and making sense of data in areas of core interest to physical and human geographers, and to environmental scientists. It covers the subject in a broadly conventional way from descriptive statistics, through inferential statistics to relational statistics but does so with an emphasis on applied data analysis throughout.