Parrott2011
Référence
Parrott, L. (2011) Hybrid modelling of complex ecological systems for decision support: Recent successes and future perspectives. Ecological Informatics, 6(1):44-49. (Scopus 
)
Résumé
Hybrid models combine multiple modelling approaches to represent complex, integrated systems of human and biophysical components. These models are highly data driven, and serve to aid in pattern extraction and knowledge synthesis, providing an important link between data sources and decision support. By allowing the simulation of the many emergent plausible futures for complex systems, hybrid models will become increasingly important decision-support tools. © 2010 Elsevier B.V.
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@ARTICLE { Parrott2011,
AUTHOR = { Parrott, L. },
TITLE = { Hybrid modelling of complex ecological systems for decision support: Recent successes and future perspectives },
JOURNAL = { Ecological Informatics },
YEAR = { 2011 },
VOLUME = { 6 },
PAGES = { 44-49 },
NUMBER = { 1 },
ABSTRACT = { Hybrid models combine multiple modelling approaches to represent complex, integrated systems of human and biophysical components. These models are highly data driven, and serve to aid in pattern extraction and knowledge synthesis, providing an important link between data sources and decision support. By allowing the simulation of the many emergent plausible futures for complex systems, hybrid models will become increasingly important decision-support tools. © 2010 Elsevier B.V. },
COMMENT = { Export Date: 2 April 2012 Source: Scopus doi: 10.1016/j.ecoinf.2010.07.001 },
ISSN = { 15749541 (ISSN) },
KEYWORDS = { Adaptive agents, Decision-support systems, Ecological complexity, Hybrid modelling, Individual-based models, Spatial modelling, biophysics, decision support system, ecological approach, ecological modeling, future prospect, individual-based model, numerical model, spatial analysis },
OWNER = { Luc },
TIMESTAMP = { 2012.04.02 },
URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-79651472470&partnerID=40&md5=e23ff0b0f9ca1301af91614bbd62c835 },
}
