Si el contenido no está traducido, puede usar la herramienta de traducción automática


Patterning & clustering of the effects of toxic...

Patterning & clustering of the effects of toxic...

TitlePatterning and clustering of the effects of toxic substances in freshwater systems
Institute responsible for organizationCNRS (Sovan Lek)

The purpose of this course is to provide the participants with knowledge

about emerging statistical methods; their functioning, application, and


The course will feature innovative tools from the field of spatial analysis

and how they could provide relevant insights into the structure of

ecosystems under anthropic pressures, by dissecting across multiple

spatial scales.


This course will cover a range of computational methods applicable for

the analysis of toxicants and environmental sciences’ data.


  • Methods to pattern and cluster biota community according to the

toxic substances.

  • Modelling approaches (e.g. artificial neural networks, classification

models) to predict aquatic ecosystem quality by using the

responses of biota community to changes of the environment. Two

types of algorithm will be presented with relevant application


  • unsupervised learning models (ordination and clustering)

used for patterning communities according to the effects of

toxic substances,

  • supervised learning models (predictive models) used to

predict community disturbances by anthropogenic impacts,

especially toxic substances.

  • The use of sensitivity analysis techniques to illustrate the

relationships between toxicants and biota.

  • Modelling of structures (e.g. spatial, temporal) using Moran's

eigenvector maps and asymmetric eigenvector maps.

  • Analysis of multiple scale correlative features using the Multiscale

Codependence Analysis.

The methods will be applied on large datasets. The participants will be

given practical examples using the R statistical software.


Background necessaryApplied statistics for ecological studies (including multivariate statistics)
PlaceCNRS, Toulouse, F
Duration (h)35h (one week)
Time22nd June – 26th June 2009
Max number of participants25

Deadline: 15th May 2009

By email: