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Environmental data analyses River Mardle

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fuzzy correspondence analysis

Environmental data analyses

Statistical analyses and interpretation of spatial and temporal environmental data sets are undertaken.

Statistical techniques
Summary statistics and linear modelling techniques, such as regression analyses, are utilised in examining data.

Multivariate analytical techniques include the use of principal components, correspondence, co-inertia, canonical correspondence and fuzzy correspondence analyses.

Spatial environmental data analyses incorporate the use of GIS techniques.

Exploratory data modelling, Euclidean methods and statistical analyses are carried out utilising a variety of software tools.

principal components analysis correlation circle

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