Practical Statistics for Geographers and Earth Scientists

Name: Practical Statistics for Geographers and Earth Scientists
Availability: InStock
ISBN: 9780470849156

ISBN-10: 0470849150

ISBN-13: 9780470849156

Edition: 2011

Authors: Nigel Walford

List price: $51.95

This item qualifies for FREE shipping.

30 day, 100% satisfaction guarantee!

Semester Rental: $38.76 Due date: 8/14/2024

Rental notice: supplementary materials (access codes, CDs, etc.) are not guaranteed with rental orders.

Buy new: $43.30

Marketplace

3 new & used from $36.52

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Description:

A statistics textbook that all students can work through, regardless of their geography or earth science stream degree pathway and their existing mathematical knowledge. The main rationale for the book is to demystify the mathematical component of statistics and to present these techniques in a digestible fashion. This will be achieved through case studies that illustrate the workings of each technique, through photographs and diagrams that help students visualise some of the processes involved and through a clear explanation of how statistical software packages work.

Book details

List price: $51.95
Copyright year: 2011
Publisher: John Wiley & Sons, Incorporated
Publication date: 1/25/2011
Binding: Paperback
Pages: 440
Size: 2.90" wide x 4.70" long x 1.00" tall
Weight: 1.496
Language: English



Preface


Acknowledgements


Glossary



First principles



What's in a number?


Learning outcomes



Introduction to quantitative analysis



Nature of numerical data



Simplifying mathematical notation



Introduction to case studies and structure of the book



Geographical data: quantity and content


Learning outcomes



Geographical data



Populations and samples



Specifying attributes and variables



Geographical data: collection and acquisition


Learning outcomes



Originating data



Collection methods



Locating phenomena in geographical space



Statistical measures (or quantities)


Learning outcomes



Descriptive statistics



Spatial descriptive statistics



Central tendency



Dispersion



Measures of skewness and kurtosis for nonspatial data



Closing comments



Frequency distributions, probability and hypotheses


Learning outcomes



Frequency distributions



Bivariate and multivariate frequency distributions



Estimation of statistics from frequency distributions



Probability



Inference and hypotheses



Connecting summary measures, frequency distributions and probability



Testing times



Parametric tests


Learning outcomes



Introduction to parametric tests



One variable and one sample



Two samples and one variable



Three or more samples and one variable



Confidence intervals



Closing comments



Nonparametric tests


Learning outcomes



Introduction to nonparametric tests



One variable and one sample



Two samples and one (or more) variable(s)



Multiple samples and/or multiple variables



Closing comments



Forming relationships



Correlation


Learning outcomes



Nature of relationships between variables



Correlation techniques



Concluding remarks



Regression


Learning outcomes



Specification of linear relationships



Bivariate regression



Concluding remarks



Correlation and regression of spatial data


Learning outcomes



Issues with correlation and regression of spatial data



Spatial and temporal autocorrelation



Trend surface analysis



Concluding remarks


References


Further Reading


Index