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Statistical Analysis of Geographical Data An Introduction.

Detalles Bibliográficos
Autor principal: Dadson, Simon James
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2017.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Dadson, Simon James. 
245 1 0 |a Statistical Analysis of Geographical Data  |h [electronic resource] :  |b An Introduction. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 2017. 
300 |a 1 online resource (235 p.). 
490 1 |a New York Academy of Sciences Ser. 
500 |a Description based upon print version of record. 
505 0 |a Intro -- Title Page -- Table of Contents -- Preface -- 1 Dealing with data -- 1.1 The role of statistics in geography -- 1.2 About this book -- 1.3 Data and measurement error -- Exercises -- 2 Collecting and summarizing data -- 2.1 Sampling methods -- 2.2 Graphical summaries -- 2.3 Summarizing data numerically -- Exercises -- 3 Probability and sampling distributions -- 3.1 Probability -- 3.2 Probability and the normal distribution: z-scores -- 3.3 Sampling distributions and the central limit theorem -- Exercises -- 4 Estimating parameters with confidence intervals 
505 8 |a 4.1 Confidence intervals on the mean of a normal distribution: the basics -- 4.2 Confidence intervals in practice: the t-distribution -- 4.3 Sample size -- 4.4 Confidence intervals for a proportion -- Exercises -- 5 Comparing datasets -- 5.1 Hypothesis testing with one sample: general principles -- 5.2 Comparing means from small samples: one-sample t-test -- 5.3 Comparing proportions for one sample -- 5.4 Comparing two samples -- 5.5 Non-parametric hypothesis testing -- Exercises -- 6 Comparing distributions -- 6.1 Chi-squared test with one sample -- 6.2 Chi-squared test for two samples 
505 8 |a Exercises -- 7 Analysis of variance -- 7.1 One-way analysis of variance -- 7.2 Assumptions and diagnostics -- 7.3 Multiple comparison tests after analysis of variance -- 7.4 Non-parametric methods in the analysis of variance -- 7.5 Summary and further applications -- Exercises -- 8 Correlation -- 8.1 Correlation analysis -- 8.2 Pearson's product-moment correlation coefficient -- 8.3 Significance tests of correlation coefficient -- 8.4 Spearman's rank correlation coefficient -- 8.5 Correlation and causality -- Exercises -- 9 Linear regression -- 9.1 Least-squares linear regression 
505 8 |a 9.2 Scatter plots -- 9.3 Choosing the line of best fit: the 'least-squares' procedure -- 9.4 Analysis of residuals -- 9.5 Assumptions and caveats with regression -- 9.6 Is the regression significant? -- 9.7 Coefficient of determination -- 9.8 Confidence intervals and hypothesis tests concerning regression parameters -- 9.9 Reduced major axis regression -- 9.10 Summary -- Exercises -- 10 Spatial Statistics -- 10.1 Spatial Data -- 10.2 Summarizing Spatial Data -- 10.3 Identifying Clusters -- 10.4 Interpolation and Plotting Contour Maps -- 10.5 Spatial Relationships -- Exercises 
505 8 |a 11 Time series analysis -- 11.1 Time series in geographical research -- 11.2 Analysing time series -- 11.3 Summary -- Exercises -- Appendix A: Introduction to the R package -- A.1 Obtaining R -- A.2 Simple calculations -- A.3 Vectors -- A.4 Basic statistics -- A.5 Plotting data -- A.6 Multiple figures -- A.7 Reading and writing data -- A.8 Summary -- Appendix B: Statistical tables -- References -- Index -- End User License Agreement 
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655 0 |a Electronic books. 
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776 0 8 |i Print version:  |a Dadson, Simon James  |t Statistical Analysis of Geographical Data  |d Newark : John Wiley & Sons, Incorporated,c2017  |z 9780470977033 
830 0 |a New York Academy of Sciences Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7103766  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7103766 
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