Descripción
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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. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Ecology And Evolution |
ISSN
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2045-7758 |
Factor de impacto JCR
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2,537 |
Información de impacto
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Datos JCR del año 2015 |
Volumen
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6 |
DOI
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10.1002/ece3.2580 |
Número de revista
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24 |
Desde la página
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8811 |
Hasta la página
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8831 |
Mes
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DICIEMBRE |
Ranking
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