Analyising Ecological Data (2007). Alain F. Zuur, Elena N. Ieno and Graham M. Smith

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Data and R code used in the book can be downloaded. The data are provided for scientific education. Please contact the first author of the case study if you intend to use the data for other purposes.

Reviews of the book:

bulletBiometrics (2008). 64, 309–319, by Carl James Schwarz.
bulletInternational Statistical Review (2007). 75, Issue 3, 426-427, by C.M. O'Brien.

Some reactions from people who bought the book.

bulletI don’t normally write emails out of the blue, however, I wish to inform you that I recently purchased ‘Analysing Ecological Data’. The book is brilliant, it is clear, concise and the examples are fantastic. It has instantly become my ‘go to’ book. Congratulations on producing such a fine piece of work. I will be preaching your virtues to all the unconverted. Cheers. Dr. Anthony Chariton. CSIRO, Australia.
bulletI just finished reading your book "Analysing Ecological Data". I liked it very much and learned a lot! Professor Antero Jarvinen, Director Kilpisjarvi Biological Station. University of Helsinki, Finland.
bulletI love your recent book "Analysing Ecological Data". I think it is an extraordinary platform for being taught in basic stats and analysis, as well as for reaching chaos due to the new techniques that one will want to test with his own data sets. I would appreciate too much the possibility of being provided with the R code. Thanks for you effort. Dr. Jaime Otero Villar. ECOBIOMAR Instituto de Investigaciones Marinas, CSIC, Spain.
bulletI just purchased your book "Analysing Ecological Data" a few days ago and from the first impression I have to say you did a fantastic job. Thanks a lot for this brilliant textbook, it will guide me through my future research. I noticed on your web page that you are thinking about publishing the R codes. As I am in the process of learning R, I would really appreciate this step. Many thanks again. Klaus Birkhofer, Department of Animal Ecology, Justus-Liebig-University, Giessen, Germany.
bulletI just purchased your book "Analysing Ecological Data" and I would first of all like to congratulate you on having produced such a well-written, well-structured and highly informative book. It will definitely be a good companion for the people in our lab when doing statistical analyses. I would also like to ask you if you could make more of the R code available online - that would be really more than helpful! With best wishes, Christoph Scherber. University of Goettingen, Germany.

 

 

DOWNLOAD DATA and R code

Most statistical analyses were carried out in the user friendly software package Brodgar (it contains a GUI to some of the R functions, and this allows the user to apply the methods with a few mouse clicks). We are currently preparing R code to do the same analyses. Let us know by email if you want us to speed up the process. 

bulletData and R code for Chapter 4.
bulletData and R code for Chapter 5. 
bulletData and R code for Chapter 6.
bulletData and R code for Chapter 7. 
bulletData and R code for Chapter 8. 
bulletData and R code for Chapter 9.
bulletData and R code for Chapter 10.
bulletChapter 11. There is no relevant R code in this chapter.
bulletChapter 12. (R code in prep, will be available in September 2008).
bulletChapter 13. (R code in prep, will be available in September 2008).
bulletData and R code for Chapter 14.
bulletChapter 15. (R code in prep, will be available in September 2008).
bulletChapter 16. (R code in prep, will be available in September 2008).
bulletChapter 17. (R code in prep, will be available in September 2008).
bulletChapter 18. (R code in prep, will be available in September 2008).
bulletData and R code for Chapter 19. The code was kindly provided by Dr. Nelly Chizhikova. Highland Statistics has not verified the code.
bulletData and R code for Chapter 20. Univariate methods to analyse abundance of decapod larvae. Pan M, Gallego A, Hay S, Ieno EN, Pierce GJ, Zuur AF and Smith GM. Data in an Excel file.
bulletData and R code for Chapter 21. Analysing presence and absence data for flatfish distribution in the Tagus estuary, Portugal. Cabral H, Zuur AF, Ieno EN  and  Smith GM. Data in an Excel file.
bulletData and R code for Chapter 22. Crop pollination by honeybees in Argentina using additive mixed modelling. Basualdo, M., Ieno, E.N., Zuur, A.F. and Smith, G.M. Data in an Excel file.
bulletData and R code for Chapter 23. Investigating the effects of rice farming on aquatic birds with mixed modelling. Elphick CS, Zuur AF, Ieno EN, and Smith GM.
bulletData and R code for Chapter 24. Classification trees and radar detection of birds for North Sea wind farms. Meesters HWG, Krijgsveld KL, Zuur AF, Ieno EN and Smith GM.
bulletData and R code for Chapter 25. Fish stock identification through neural network analysis of parasite fauna. Campbell N, MacKenzie K, Zuur AF, Ieno EN and Smith GM.
bulletChapter 26. Monitoring for change: Using generalised least squares, non-metric multidimensional scaling, and the Mantel test on western Montana grasslands. Sikkink, P.G., Zuur, A.F., Ieno, E.N. and Smith, G.M. R code in prep, will be available in July 2008.
bulletData for Chapter 27. Univariate and multivariate analysis applied on a Dutch sandy beach community. Janssen, G.M., Mulder, S., Zuur, A.F., Ieno, E.N. and Smith, G.M. R code in prep, will be available in July 2008.
bulletChapter 28. Multivariate analyses of South-American zoobenthic species - spoilt for choice. Ieno E.N., Zuur A.F., Bastida R., Martin, J.P., Trassens M. and Smith G.M. R code in prep, will be available in July 2008.
bulletData and R code for Chapter 29. Principal component analysis applied to harbour porpoise fatty acid data. Jolliffe, I.T., Learmonth, J.A., Pierce, G.J., Santos, M.B., Trendafilov, N., Zuur, A.F., Ieno, E.N. and Smith, G.M.
bulletData and R code for Chapter 30. Multivariate analyses of morphometric turtle data - size and shape. Claude, J., Jolliffe, I.T., Zuur, A.F., Ieno, E.N. and Smith, G.M.
bulletData and R code for Chapter 31. Redundancy analysis and additive modelling applied on savanna tree data. Lykke, A.M., Sambou, B., Mbow, C., Zuur, A.F., Ieno, E.N. and Smith, G.M. Data in Excel.
bulletChapter 32. Canonical correspondence analysis of lowland pasture vegetation in the humid tropics of Mexico. Lira-Noriega, A., Laborde, J., Guevara, S., Sánchez-Ríos, G., Zuur, A.F., Ieno, E.N. and Smith, G.M. R code in prep, will be available in July 2008.
bulletChapter 33. Estimating common trends in Portuguese fisheries landings. Erzini, K., Zuur, A.F., Ieno, E.N., Pierce, G.J., Tuck, I. and Smith, G.M. R code in prep, will be available in July 2008.
bulletChapter 34. Common trends in demersal communities on the Newfoundland-Labrador Shelf. Devine, J.A., Zuur, A.F., Ieno, E.N. and Smith, G.M. R code in prep, will be available in July 2008.
bulletData and R code for Chapter 35. Sea level change and salt marshes in the Wadden Sea: A time series analysis. Dijkema, K.S., Van Duin, W.E., Meesters, H.W.G., Zuur, A.F., Ieno. E.N. and Smith, G.M. Friesland data. Groningen Data.
bulletData for Chapter 36. Time series analysis of Hawaiian waterbirds. Reed, J.M., Elphick, C.S., Zuur, A.F., Ieno, E.N. and Smith, G.M. R code in prep, will be available in July 2008.
bulletData for Chapter 37. R code for Chapter 37. Spatial modelling of forest community features in the Volzhsko-Kamsky reserve. Rogova TV, Chizhikova NA, Lyubina OE, Saveliev AA, Mukharamova SS, Zuur AF, Ieno EN and Smith GM.  The R code was kindly provided by Dr. Nelly Chizhikova.