Statistics for Geography and Environmental Science

Nonfiction, Science & Nature, Science, Earth Sciences, Geography, Social & Cultural Studies, Social Science, Human Geography
Cover of the book Statistics for Geography and Environmental Science by Richard Harris, Claire Jarvis, Taylor and Francis
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Author: Richard Harris, Claire Jarvis ISBN: 9781317904397
Publisher: Taylor and Francis Publication: May 1, 2014
Imprint: Routledge Language: English
Author: Richard Harris, Claire Jarvis
ISBN: 9781317904397
Publisher: Taylor and Francis
Publication: May 1, 2014
Imprint: Routledge
Language: English

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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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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