0000000000392842
AUTHOR
Patrice Lepelletier
Démarche statistique pour la sélection des indicateurs par Random Forests pour la surveillance de la qualité des sols
The volume of data, and the large number of biological variables to be tested (one hundred), require analytical techniques, such asRandom Forests, which can overcome the problem of multi-colinearity for the selection of indicators, sensitive to various factors.Random Forests methodology is appropriate for the selection of the most discriminant variables. So, we searched for the best wayto select them, by bringing together all biological variables, representing the Microflora and Fauna. This approach focuses on impactindicators from the Bio2 program, indicators of flora and indicators of accumulation (snails) were not included.This work has been implemented on the three factors of discrimina…
Application of soil bioindicators for risk assessment, monitoring and soil characterization in contaminated soils. Results from the French national “Bioindicators Programme”
International audience; absent
Application of soil bioindicators for risk assessment, monitoring and soil characterization in contamined soils. Results from the French national "Bioindicators Programme"
EA GenoSol IPM CT?; International audience