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Tree-based ensembles unveil the microhabitat suitability for the invasive bleak (Alburnus alburnus L.) and pumpkinseed (Lepomis gibbosus L.): Introducing XGBoost to eco-informatics

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Tree-based ensembles unveil the microhabitat suitability for the invasive bleak (Alburnus alburnus L.) and pumpkinseed (Lepomis gibbosus L.): Introducing XGBoost to eco-informatics

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Muñoz-Mas, R.; Gil-Martínez, E.; Oliva-Paterna, FJ.; Belda, E.; Martinez-Capel, F. (2019). Tree-based ensembles unveil the microhabitat suitability for the invasive bleak (Alburnus alburnus L.) and pumpkinseed (Lepomis gibbosus L.): Introducing XGBoost to eco-informatics. Ecological Informatics. 53:1-12. https://doi.org/10.1016/j.ecoinf.2019.100974

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/155857

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Title: Tree-based ensembles unveil the microhabitat suitability for the invasive bleak (Alburnus alburnus L.) and pumpkinseed (Lepomis gibbosus L.): Introducing XGBoost to eco-informatics
Author: Muñoz-Mas, Rafael Gil-Martínez, Enric Oliva-Paterna, Francisco J. Belda, E.J. Martinez-Capel, Francisco
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal
Issued date:
Embargo end date: 2021-09-30
Abstract:
[EN] Random Forests (RFs) and Gradient Boosting Machines (GBMs) are popular approaches for habitat suitability modelling in environmental flow assessment. However, both present some limitations theoretically solved by ...[+]
Subjects: Conditional random forests , EXtreme Gradient Boosting machine , Gradient boosting machine , Oblique random forests , Random forests , SMOTE
Copyrigths: Embargado
Source:
Ecological Informatics. (issn: 1574-9541 )
DOI: 10.1016/j.ecoinf.2019.100974
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.ecoinf.2019.100974
Project ID:
GC/2017 SGR 548
MICINN/FJCI-2016-30829
Thanks:
This project had the support of Fundacion Biodiversidad, of Spanish Ministry for Ecological Transition. We want to thank the volunteering students of the Universitat Politecnica de Valencia, Marina de Miguel, Carlos A. ...[+]
Type: Artículo

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