| Description |
xxvi, 672 pages : illustrations ; 25 cm |
| Series |
Statistics for biology and health |
|
Statistics for biology and health.
|
| Contents |
1. Introduction -- 2. Data management and software -- 3. Advice for teachers -- 4. Exploration -- 5. Linear regression -- 6. Generalised linear modelling -- 7. Additive and generalised additive modelling -- 8. Introduction to mixed modelling -- 9. Univariate tree models -- 10. Measures of association -- 11. Ordination - first encounter -- 12. Principal component analysis and redundancy analysis -- 13. Correspondence analysis and canonical correspondence analysis -- 14. Introduction to discriminant analysis -- 15. Principal coordinate analysis and non-metric multidimensional scaling -- 16. Time series analysis - Introduction -- 17. Common trends and sudden changes -- 18. Analysis and modelling lattice data -- 19. Spatially continuous data analysis and modelling -- 20. Univariate methods to analyse abundance of decapod larvae -- 21. Analysing presence and absence data for flatfish distribution in the Tagus estuary, Portugual -- 22. Crop pollination by honeybees in an Argentinean pampas system using additive mixed modelling -- 23. Investigating the effects of rice farming on aquatic birds with mixed modelling -- 24. Classification trees and radar detection of birds for North Sea wind farms -- 25. Fish stock identification through neural network analysis of parasite fauna -- 26. Monitoring for change: using generalised least squares, non-metric multidimensional scaling, and the Mantel test on western Montana grasslands -- 27. Univariate and multivariate analysis applied on a Dutch sandy beach community -- 28. Multivariate analyses of South-American zoobenthic species - spoilt for choice -- 29. Principal component analysis applied to harbour porpoise fatty acid data -- 30. Multivariate analysis of morphometric turtle data - size and shape -- 31. Redundancy analysis and additive modelling applied on savanna tree data -- 32. Canonical correspondence analysis of lowland pasture vegetation in the humid tropics of Mexico -- 33. Estimating common trends in Portuguese fisheries landings -- 34. Common trends in demersal communities on the Newfoundland-Labrador Shelf -- 35. Sea level change and salt marshes in the Wadden Sea: a time series analysis -- 36. Time series analysis of Hawaiian waterbirds -- 37. Spatial modelling of forest community features in the Volzhsko-Kamsky reserve |
| Summary |
This book provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ecological studies or research projects. The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modelling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors. The case studies include topics ranging from terrestrial ecology to marine biology. The case studies can be used as a template for your own data analysis; just try to find a case study that matches your own ecological questions and data structure, and use this as starting point for you own analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in Chapter 2 |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Data from all case studies are available online |
|
System requirements: Internet connectivity, World Wide Web browser, and Adobe Acrobat reader |
|
Print version record |
| In |
Springer e-books |
| Subject |
Biometry.
|
|
Data analysis
|
|
Ecology -- Statistical methods.
|
|
Ecology.
|
|
Statistics as Topic -- methods.
|
| Author |
Ieno, Elena N.
|
|
Smith, Graham M.
|
| LC no. |
2006933720 |
| ISBN |
0387459677 |
|
9780387459677 |
|
