Staff and Expertise

On this page you find a short description of Highland Statistic staff

• Dr Alain Zuur
• Dr Elena Ieno
• Professor Ian Jolliffe
• Professor Anatoly Saveliev  

Alain F. Zuur, PhD. Highland Statistics

Alain Zuur is senior statistician and director of Highland Statistics Ltd. As a statistical consultant he has contributed to a wide range of projects related to marine biology, oceanography, ecology, fisheries, etc. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK. Alain has worked as a statistical consultant at FRS Marine Laboratory, University of Aberdeen, Netherlands Institute for Sea Research (NIOZ) and TNO-IGG. Interest: Application of statistical methods to ecological and environmental data. Especially the application of GLM and GAM on nested, time series or spatial data (GLMM, GAMM), mixed modeling, time series analysis, and multivariate analysis.

Selected publications:

• A protocol for data exploration to avoid common statistical problems (2010). Zuur, Ieno & Elphick. Methods in Ecology and Evolution.
• Analyzing Ecological Data. Zuur, Ieno and Smith (2007). Springer. 680p.
• Mixed effects models in ecology with R. (2009). Zuur, Ieno, Walker, Saveliev and Smith. Springer.
• A Beginner's Guide to R. (2009). Zuur, Ieno and Meesters. Springer.
• Zuur, A.F., Fryer, R.J., Jolliffe, I.T., Dekker, R. and Beukema, J.J. (2003). Estimating common trends in multivariate time series using dynamic factor analysis. Environmetrics, 14(7): 665-685.
• Further publications: http://www.highstat.com/books.htm

Selected consultancy projects:

• A large number of 1-5 day projects guiding PhD students from all over the world (ongoing).
• Poisson kriging applied on sea bird. Project for JNCC, UK. (2008)
• Power analysis on cod welfare data for Johnson Seafarms Ltd, Shetland, UK (2007).
• Analysis of whale data for the University of Aberdeen (2007).
• Statistical consultancy for the BAGPIPES project (bio-diversity), Oceanlab, University of Aberdeen (2006/2007), in co-operation with the University of York and the St. Andrews University.
• Statistical consultancy for two NERC projects, Oceanlab, University of Aberdeen (2007 and 2008).
• Further consultancy projects: http://www.highstat.com/consultancy.htm

Elena Ieno PhD. Highland Statistics

Elena Ieno is senior marine biologist at Highland Statistics Ltd. In 2004 she left academia to work full time in statistical consultancy. She now teaches statistics to ecologists and has shown she can bridge the gap between the two disciplines and dispel the dread of statistics shown by most biologists. She is also involved in various international statistical consultancy projects, and is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK.

Selected books and recent publications

• Ieno, E.N., Solan, M., Batty, P. & Pierce, G.J., 2006. Distinguishing between the effects of infaunal species richness, identity and density in the marine benthos. Marine Ecology Progress Series 311: 263-271.
• Heger A., Ieno E.N., King N.J., Morris K.J., Bagley P.M. and Priede I.G. (In press). Deep-sea pelagic bioluminescence over the Mid-Atlantic Ridge. Deep-Sea Research.
• Analyzing Ecological Data by Zuur, Ieno and Smith (2007). Springer. 680p. ·
• Mixed effects models in ecology with R. (2009). Zuur, Ieno, Walker, Saveliev, and Smith. Springer.
• A Beginner's Guide to R. (2009). Zuur, Ieno and Meesters. Springer.  

 

Highland Statistics business associates

 

Professor Ian Jolliffe

Emeritus Professor University of Aberdeen, Visiting Professor University of Exeter, Honorary Professor University of Kent.

Ian has nearly 40 years experience teaching, researching and applying statistics. His main interests are currently in Multivariate Analysis, in particular Principal Component Analysis, for which he is author of the definitive book on the subject – see below – and in Forecast Verification, for which he co-edited another book. He is co-author of two other books and author or co-author of more than 80 refereed papers or contributions to books. Ian’s expertise ranges over many topics in applied statistics in addition to his main interests. He has taught a wide variety of subjects at levels ranging from elementary to postgraduate.

Books:

• I.T.Jolliffe (1986, Second edition 2002). Principal component analysis. Springer-Verlag
• E.E.Bassett, J.M. Bremner, I. T. Jolliffe, B.Jones, B.J.T. Morgan and P.M. North (1986, Second edition 2000). Statistics - Problems and Solutions. Edward Arnold
• P.H. Garthwaite, I.T.Jolliffe (1995) Statistical Inference. Ellis Horwood
• I.T.Jolliffe and D.B. Stephenson (eds) (2003) Forecast verification: a practitioner’s guide in atmospheric science. Wiley.  

Professor Anatoly Saveliev

Professor in statistics at the Faculty of Geography and Ecology at Kazan Federal University, in Russia.

Anatoly teaches statistics, geostatistics and GIS. As a statistical consultant he has contributed to a wide range of environmental impact assessment projects for the regional oil industry and government. He is also involved with the development of the images processing software ScanEx.  

Interest:

Application of (geo)statistical methods to spatial ecological (vegetation) and environmental data. RS images processing and implementation of data analysis and modeling techniques in GIS. Application of GLM, GAM, geostatistical methods (kriging) and artificial neural networks on spatial data.

Selected publications:

• First author of two spatial modeling chapters in Analyzing Ecological Data by Zuur, Ieno and Smith (2007). Springer. 680p.
• Saveliev A.A., A. V. Romanov, S. S. Mukharamova, 2005. Automated mapping using multilevel B-Splines. Applied GIS, Vol. 1, No.2.
• Saveliev A.A., Dobrinin D.V. The use of Kohonen's neural nets for the detection of land-cover transitions. In: Proceedings of the First International Workshop on the Analysis of Multitemporal Remote Sensing Images. Proceedings of Multytemp 2001. Series in Remote Sensing, World Scientific, Singapure. - 2002. - V.2. -  P.148-155.
• Mixed effects models in ecology with R. (2009). Zuur, Ieno, Walker, Saveliev and Smith. Springer.