Sensitivity analysis of Repast computational ecology models with R/Repast

Prestes García, Antonio y Rodríguez-Patón Aradas, Alfonso (2016). Sensitivity analysis of Repast computational ecology models with R/Repast. "Ecology And Evolution", v. 6 (n. 24); pp. 8811-8831. ISSN 2045-7758. https://doi.org/10.1002/ece3.2580.

Descripción

Título: Sensitivity analysis of Repast computational ecology models with R/Repast
Autor/es:
  • Prestes García, Antonio
  • Rodríguez-Patón Aradas, Alfonso
Tipo de Documento: Artículo
Título de Revista/Publicación: Ecology And Evolution
Fecha: Diciembre 2016
Volumen: 6
Materias:
Palabras Clave Informales: Individual-Based Modeling; Sensitivity analysis; Repast; Computational Ecology; Systems Biology
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Computational ecology is an emerging interdisciplinary discipline founded mainly on modeling and simulation methods for studying ecological systems. Among the existing modeling formalisms, the individual-based modeling is particularly well suited for capturing the complex temporal and spatial dynamics as well as the nonlinearities arising in ecosystems, communities, or populations due to individual variability. In addition, being a bottom-up approach, it is useful for providing new insights on the local mechanisms which are generating some observed global dynamics. Of course, no conclusions about model results could be taken seriously if they are based on a single model execution and they are not analyzed carefully. Therefore, a sound methodology should always be used for underpinning the interpretation of model results. The sensitivity analysis is a methodology for quantitatively assessing the effect of input uncertainty in the simulation output which should be incorporated compulsorily to every work based on in-silico experimental setup. In this article, we present R/Repast a GNU R package for running and analyzing Repast Simphony models accompanied by two worked examples on how to perform global sensitivity analysis and how to interpret the results.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
FP7612146PLASWIRESUNIVERSIDAD POLITECNICA DE MADRIDEngineering multicellular biocircuits: programming cell-cell communication using plasmids as wires

Más información

ID de Registro: 45441
Identificador DC: http://oa.upm.es/45441/
Identificador OAI: oai:oa.upm.es:45441
Identificador DOI: 10.1002/ece3.2580
URL Oficial: http://onlinelibrary.wiley.com/doi/10.1002/ece3.2580/abstract
Depositado por: Memoria Investigacion
Depositado el: 22 Jun 2017 09:37
Ultima Modificación: 22 Jun 2017 09:37
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