Bayesian networks in environmental and resource management

被引：134

作者：

Barton, David N. ^{[1
]}

Kuikka, Sakari ^{[2
]}

Varis, Olli ^{[3
]}

Uusitalo, Laura ^{[2
,4
]}

Henriksen, Hans Jorgen ^{[5
]}

Borsuk, Mark ^{[6
]}

de la Hera, Africa ^{[7
]}

Farmani, Raziyeh ^{[8
]}

Johnson, Sandra ^{[9
]}

Linnell, John D. C. ^{[10
]}

机构：

[1] Norwegian Inst Nat Res NINA, Gaustadalleen 21, NO-0349 Oslo, Norway

[2] Univ Helsinki, Dept Environm Sci, FEM, Helsinki, Finland

[3] Aalto Univ, Water & Dev Res Grp, Espoo, Finland

[4] Finnish Environm Inst SYKE, Marine Res Ctr, Helsinki, Finland

[5] Geol Survey Denmark & Greenland GEUS, Copenhagen, Denmark

[6] Dartmouth Coll, Thayer Sch Engn, Hanover, NH USA

[7] Geol Survey Spain, Inst Geol Minero Espana IGME, Madrid, Spain

[8] Univ Exeter, Ctr Water Syst, Exeter EX4 4QJ, Devon, England

[9] Queensland Univ Technol, Discipline Math Sci, Brisbane, Qld, Australia

[10] Norwegian Inst Nat Res NINA, Trondheim, Norway

来源：

INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT | 2012年 / 8卷 / 03期

关键词：

D O I：

10.1002/ieam.1327

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This overview article for the special series, Bayesian Networks in Environmental and Resource Management, reviews 7 case study articles with the aim to compare Bayesian network (BN) applications to different environmental and resource management problems from around the world. The article discusses advances in the last decade in the use of BNs as applied to environmental and resource management. We highlight progress in computational methods, best-practices for model design and model communication. We review several research challenges to the use of BNs in environmental and resource management that we think may find a solution in the near future with further research attention. Integr Environ Assess Manag 2012; 8: 418429. (c) 2012 SETAC

引用

页码：418 / 429

页数：12

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