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A GIS plug-in for Bayesian belief networks : towards a transparent software framework to assess and visualise uncertainties in ecosystem service mapping

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uncertainty maps, uncertainty analysis, decision support, spatial modelling, BBN, ES, COLUMBIA RIVER BASIN, MANAGEMENT ALTERNATIVES, LAND MANAGEMENT, HABITATS, SUPPORT, TRENDS

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Chicago
Landuyt, Dries, Katrien Van der Biest, Steven Broekx, Jan Staes, Patrick Meire, and Peter Goethals. 2015. “A GIS Plug-in for Bayesian Belief Networks : Towards a Transparent Software Framework to Assess and Visualise Uncertainties in Ecosystem Service Mapping.” Environmental Modelling & Software 71: 30–38.
APA
Landuyt, D., Van der Biest, K., Broekx, S., Staes, J., Meire, P., & Goethals, P. (2015). A GIS plug-in for Bayesian belief networks : towards a transparent software framework to assess and visualise uncertainties in ecosystem service mapping. ENVIRONMENTAL MODELLING & SOFTWARE, 71, 30–38.
Vancouver
1.
Landuyt D, Van der Biest K, Broekx S, Staes J, Meire P, Goethals P. A GIS plug-in for Bayesian belief networks : towards a transparent software framework to assess and visualise uncertainties in ecosystem service mapping. ENVIRONMENTAL MODELLING & SOFTWARE. 2015;71:30–8.
MLA
Landuyt, Dries, Katrien Van der Biest, Steven Broekx, et al. “A GIS Plug-in for Bayesian Belief Networks : Towards a Transparent Software Framework to Assess and Visualise Uncertainties in Ecosystem Service Mapping.” ENVIRONMENTAL MODELLING & SOFTWARE 71 (2015): 30–38. Print.
@article{5990656,
  author       = {Landuyt, Dries and Van der Biest, Katrien and Broekx, Steven and Staes, Jan and Meire, Patrick and Goethals, Peter},
  issn         = {1364-8152},
  journal      = {ENVIRONMENTAL MODELLING \& SOFTWARE},
  keyword      = {uncertainty maps,uncertainty analysis,decision support,spatial modelling,BBN,ES,COLUMBIA RIVER BASIN,MANAGEMENT ALTERNATIVES,LAND MANAGEMENT,HABITATS,SUPPORT,TRENDS},
  language     = {eng},
  pages        = {30--38},
  title        = {A GIS plug-in for Bayesian belief networks : towards a transparent software framework to assess and visualise uncertainties in ecosystem service mapping},
  url          = {http://dx.doi.org/10.1016/j.envsoft.2015.05.002},
  volume       = {71},
  year         = {2015},
}

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