This tool provides a user-friendly environment to explore complex models
The development of the BayesNetVis tool was funded by:
Further details on the Ecosystem services trade-offs Bayesian network and BayesNetVis tool can be found in the following report:
The Team
Data production and model development
Josean Fernandes
Xavier Corrales
Arantza Murillas
Bruno Iñarra
Carlos Bald
Raúl Prellezo
Deniz Tasdemir
Adrian Martin
Xabier Irigoien
Software development and design
Gotzon Mandiola
Dario Masante
Ana D. Maldonado
Maria Korta
Ibon Galparsoro
Izaro Goienetxea
The graph shows the dependence relationships between the variables in the model and the marginal probability distribution of each variable. If a piece of evidence is introduced in a node (shown in red color), the probability distribution of the other nodes might change. If you want to set an evidence control-click in the specific node.
When a piece of evidence is set, the probability distribution of the other nodes might change. Observe how the introduction of the new belief changes your nodes of interest. 'Prior' refers to the probability distribution before the introduction of the new belief (light grey bars). 'Posterior' refers to the probability distribution after the introduction of the new belief (black bars).
Both the barchart and the table show the probability distribution of the chosen node for each combination of its parent nodes' states. Graphically, the length of each bar is proportional to how likely it is that a variable (node) takes a particular value (state). On the other hand, the table shows numbers from 0 to 1,with 1 representing that the state of the node is known with certainty given the state of its parents.
Explore the model parameters
Check out the conditional probability distribution of a node of interest, i.e., its distribution for each combination of the parent node's states.
Node description
State description