Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador-Reference-Cited by-同舟云学术

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Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador

Published:2017-06 Issue: Volume:92 Page:269-316
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Gobeyn Sacha^ORCID,Volk Martin,Dominguez-Granda Luis,Goethals Peter L.M.

Funder

Bijzonder Onderzoeksfonds

Vlaamse Interuniversitaire Raad-Universitaire Ontwikkelingssamenwerking (VLIR-UOS)

Ghent University

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference84 articles.

1. Fuzzy knowledge-based models for prediction of Asellus and Gammarus in watercourses in Flanders (Belgium);Adriaenssens;Ecol. Model.,2006

2. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS);Allouche;J. Appl. Ecol.,2006

3. Ecological water quality analysis of the Guayas river basin (Ecuador) based on macroinvertebrates indices;Ambarita;Limnologica - Ecol. Manag. Inland Waters,2016

4. Comparison of modelling techniques to predict macroinvertebrate community composition in rivers of Ethiopia;Ambelu;Ecol. Inf.,2010

5. A decision framework for wetland management in a river basin context: the “Abras de Mantequilla” case study in the Guayas River Basin, Ecuador;Arias-Hidalgo;Environ. Sci. Policy,2013

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