Linking indices of biotic integrity to environmental and land use variables: multimetric clustering and predictive models.

@article{Novotn2009LinkingIO,
  title={Linking indices of biotic integrity to environmental and land use variables: multimetric clustering and predictive models.},
  author={Vladim{\'i}r Novotn{\'y} and David Andr{\'e}s Londo{\~n}o Bedoya and Hardik Virani and Elias S Manolakos},
  journal={Water science and technology : a journal of the International Association on Water Pollution Research},
  year={2009},
  volume={59 1},
  pages={1-8}
}
Advanced computerized methods and models of retrieving knowledge from large multiparameter data bases were used to analyze data on fish and macroinvertebrate composition (metrics), habitat, land use and water quality. The research focused on the north central and northeastern United States and involved thousands of sites monitored by the state agencies. The techniques and methodologies included supervised and unsupervised Artificial Neural Networks (ANN) modeling, Principal Component Analysis… CONTINUE READING