Analyzing the occurrence of an invasive aquatic fern in wetland using data-driven and multivariate techniques

In the present study, the data-driven (classification trees and support vector machines) and multivariate techniques (principal component analysis and discriminant analysis) were applied to study the habitat preferences of an invasive aquatic fern ( Azolla filiculoides ) in the Selkeh Wildlife Refug...

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Veröffentlicht in:	Wetlands ecology and management 2017-08, Vol.25 (4), p.485-500
Hauptverfasser:	Sadeghi, Roghayeh, Zarkami, Rahmat, Van Damme, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquatic plants Azolla filiculoides Biomedical and Life Sciences Classification Conservation Biology/Ecology Data Data analysis Data mining Data processing Discriminant analysis Ecological distribution Environmental Law/Policy/Ecojustice Ferns Freshwater & Marine Ecology Freshwater plants Habitat preferences Habitat selection Habitats Hydrology/Water Resources Life Sciences Marine & Freshwater Sciences Mineral nutrients Multivariate analysis Nutrients Original Paper Performance prediction Principal components analysis Protected areas Statistical analysis Statistical methods Statistical tests Support vector machines Water quality Water Quality/Water Pollution Wetlands Wildlife Wildlife conservation Wildlife habitats Wildlife refuges
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