Statistical Analysis and Numerical Modelling

IECS Arenicola marina

Research and training

IECS has a large capability for univariate and multivariate analysis using benthic community, fisheries, ornithological, water quality/physico-chemical and sedimentological data in order to:

  • differentiate between distinct community and habitat types or biotopes;
  • detect impacts and recovery;
  • investigate colonisation and succession trends in relation to habitat restoration or creation;
  • generate size or density of biological populations from distance sampling surveys;
  • examine the relationships between environmental and biological variables;
  • generate predictive statistical models.

Routine techniques include simple univariate statistics, Generalised Linear/Additive Modelling (GLM/GAM), Mixed Modelling, Multidimensional Scaling, Principal Components Analysis, Canonical Correspondence Analysis, Permutational Multivariate Analysis of Variance (PERMANOVA), ANOSIM, Time Series and Dynamic Factor Analysis.

Professor Mike Elliott and Dr Krysia Mazik have both lectured in statistics at undergraduate and postgraduate level and run statistics courses inside and outside the University (e.g. for Halcrow, NESFC, ECSA multivariate Statistics workshop). They both play a key role advising staff and students inside and outside the University on data analysis within the fields of ecology and chemical ecology, chemistry, biomedical science and medicine, education and geography.

Software includes:

  • SPSS
  • R
  • Brodgar
  • PRIMER with PERMANOVA
  • STATISTICA
  • DISTANCE

 

For more information please contact:

Prof. Mike Elliott (Director) Mike.Elliott@hull.ac.uk

Dr. Krysia Mazik (Senior Benthic Ecologist) K.Mazik@hull.ac.uk

Dr. Anita Franco (Senior Fish Ecologist) A.Franco@hull.ac.uk

Dr. James Strong (Senior Benthic Ecologist and Seabed Surveyor) J.Strong@hull.ac.uk

 

 

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