Sensitivity analysis of Repast computational ecology models with R/Repast

Prestes Garcia, Antonio (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.

Description

Title: Sensitivity analysis of Repast computational ecology models with R/Repast
Author/s:
  • Prestes Garcia, Antonio
Item Type: Article
Título de Revista/Publicación: Ecology And Evolution
Date: December 2016
ISSN: 2045-7758
Volume: 6
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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 paper 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.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7612146PLASWIRESUNIVERSIDAD POLITECNICA DE MADRIDEngineering multicellular biocircuits: programming cell-cell communication using plasmids as wires
Government of SpainTIN2012-36992UnspecifiedUnspecifiedProgramación e ingeniería de biocircuitos: diseño y modelado in silico

More information

Item ID: 46237
DC Identifier: http://oa.upm.es/46237/
OAI Identifier: oai:oa.upm.es:46237
DOI: 10.1002/ece3.2580
Official URL: https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.2580
Deposited by: Memoria Investigacion
Deposited on: 22 Jun 2017 09:38
Last Modified: 04 Jun 2019 08:49
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