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Analyising Ecological Data (2007). Alain F. Zuur, Elena N. Ieno and Graham M.
Smith
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:
 | Biometrics (2008). 64, 309–319, by Carl James Schwarz. |
 | International Statistical Review (2007). 75, Issue 3,
426-427, by C.M. O'Brien. |
Some reactions from people who bought the book.
 | I 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. |
 | I 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. |
 | I 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. |
 | I 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. |
 | I 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.
 | Data and R code for
Chapter 4. |
 | Data and R code for Chapter 5. |
 | Data and R code for Chapter 6. |
 | Data and R code for Chapter 7. |
 | Data and R code for Chapter 8. |
 | Data and R code for Chapter 9. |
 | Data and R code for Chapter 10. |
 | Chapter 11. There is no relevant R code in this chapter. |
 | Chapter 12. (R code in prep, will be available in September 2008). |
 | Chapter 13. (R code in prep, will be available in September 2008). |
 | Data and R code for Chapter 14. |
 | Chapter 15. (R code in prep, will be available in September 2008). |
 | Chapter 16. (R code in prep, will be available in September 2008). |
 | Chapter 17. (R code in prep, will be available in September 2008). |
 | Chapter 18. (R code in prep, will be available in September 2008). |
 | Data and R code for Chapter 19. The code was
kindly provided by Dr. Nelly Chizhikova. Highland Statistics has not
verified the code. |
 | Data 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. |
 | Data 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. |
 | Data 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. |
 | Data 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.
|
 | Data 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.
|
 | Data
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.
|
 | Chapter 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.
|
 | Data 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.
|
 | Chapter 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.
|
 | Data 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.,
|
 | Data 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.
|
 | Data 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. |
 | Chapter 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.
|
 | Chapter 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.
|
 | Chapter 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.
|
 | Data 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.
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 | Data 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.
|
 | Data 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. |
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