Bayesian networks in environmental modelling

被引：464

作者：

Aguilera, P. A. ^{[1
]}

Fernandez, A. ^{[2
]}

Fernandez, R. ^{[1
]}

Rumi, R. ^{[2
]}

Salmeron, A. ^{[2
]}

机构：

[1] Univ Almeria, Informat & Environm Res Grp, Dept Plant Biol & Ecol, Almeria 04120, Spain

[2] Univ Almeria, Dept Stat & Appl Math, Almeria 04120, Spain

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2011年 / 26卷 / 12期

关键词：

Bayesian networks; Environment; Model implementation; Software; Review; LAND MANAGEMENT ALTERNATIVES; BELIEF NETWORKS; DECISION-SUPPORT; RIVER-BASIN; TRUNCATED EXPONENTIALS; PROBABILISTIC NETWORKS; POPULATION-VIABILITY; ADAPTIVE MANAGEMENT; RISK-ASSESSMENT; NAIVE BAYES;

D O I：

10.1016/j.envsoft.2011.06.004

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Bayesian networks (BNs), also known as Bayesian belief networks or Bayes nets, are a kind of probabilistic graphical model that has become very popular to practitioners mainly due to the powerful probability theory involved, which makes them able to deal with a wide range of problems. The goal of this review is to show how BNs are being used in environmental modelling. We are interested in the application of BNs, from January 1990 to December 2010, in the areas of the ISI Web of Knowledge related to Environmental Sciences. It is noted that only the 4.2% of the papers have been published under this item. The different steps that configure modelling via BNs have been revised: aim of the model, data pre-processing, model learning, validation and software. Our literature review indicates that BNs have barely been used for Environmental Science and their potential is, as yet, largely unexploited. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1376 / 1388

页数：13

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