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Week 1 |
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Sun
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Registration and welcome
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Lecture
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Practical |
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Mon
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am |
Introduction -
aims of the course, approaches to statistical modelling, overview of
methods, terminology.
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Introduction to R
installing R, data types, functions, graphics, data import and
export. |
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pm |
Exploratory data analysis and graphics
summarising data, data transformation, outliers, visualising uni-,
bi- and multivariate relationships.
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EDA
- Using R to summarise, display and graphically explore
environmental data. |
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Tues
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am |
Classification
overview of methods, dissimilarity coefficients, hierarchical
methods, TWINSPAN, k-means, validation, comparing classifications.
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Classification in R
calculating dissimilarities, clustering methods, display of
results, graphical diagnostics. |
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pm |
Introduction to regression
bivariate least squares regression, significance test,
assumptions, model diagnosis, prediction.
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Linear
regression in R -
building and diagnosing linear regression models in R. |
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Wed |
am |
Multiple
regression and analysis of variance
variable selection and model building, one-way and two-way ANOVA,
mixed predictors.
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Multiple
regression and ANOVA in R
significance testing, manual and automated model building,
diagnostics, multiple comparisons. |
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pm |
Class
presentations 5 minutes each
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Development of individual research projects |
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Thu |
am |
Advanced
regression topics
- Generalised linear models, generalised additive models, weighted
averaging, quantile regression.
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Advanced
regression in R -
Species
response modelling with GLMs, GAMs, and WA. |
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pm |
Introduction to ordination
- principal components analysis and related methods
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Principal
components analysis in R and CANOCO
model fitting and graphical display. |
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Fri |
am |
Correspondence analysis and related methods
CA, DCA, metric and non-metric multidimensional scaling, comparing
ordinations.
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CA, DCA,
MDS and nMDS in R and CANOCO
model fitting and interpretation, comparing ordinations. |
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pm |
Constrained ordination
Canonical correspondence analysis, redundancy analysis.
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Constrained ordination in R and CANOCO
variable selection, significance testing, ordination diagrams. |
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Sat |
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Databases
and data management. |
Manipulating environmental with MS Access and R. |
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Sun
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Independent research project and individual / group help &
troubleshooting |
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Week 2 |
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Lecture
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Practical |
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Mon |
am |
Variance
partitioning and hypothesis testing with constrained ordination
partial ordination, variance partitioning, permutation tests.
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Constrained ordination in R and CANOCO continued
variance partitioning, permutation tests and significance testing. |
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pm |
Review of
week 1, catch up and independent research project
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Tue |
am |
Advanced
constrained ordination
distance-based RDA, principal response curves, co-inertia and
co-correspondence analysis.
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Constrained ordination in R and CANOCO continued
- dbRDA, PRC, enhancing ordination diagrams, graphical diagnostics.
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pm |
Transfer
functions
overview of methods, weighted averaging, WAPLS, MAT, diagnostics &
evaluation.
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Transfer
functions with C2
model fitting, diagnosis, evaluation of reconstruction. |
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Wed
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am |
Analysis
of grouped data
multivariate analysis of variance, grouped data in CCA and RDA,
non-parametric MANOVA, MRPP, anosim, discriminant functions,
logistic regression, indicator species analysis.
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Analysis
of grouped data in R
significance of groups, identification of indicators, prediction,
graphical tools. |
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pm |
Independent research project
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Thu |
am |
Classification and regression trees
CART, multivariate regression trees.
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Tree-based methods in R
CART MRT, graphical display & diagnostics. |
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pm |
Analysis
of temporal data
zonation, sequence splitting, testing for trends or change points,
temporal autocorrelation.
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Analysis
of temporal data in R. |
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Fri |
am |
Overview
of course choice
of methods, data and data transformations, model building and
selection, reporting and presenting results.
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Question
and answer session, advanced R tips and programming.
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Fri |
pm |
Student
feedback and group discussion on research projects.
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