Explore scenarios Build your own

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Select a theme of interest.

Pick a scenario from the list, or build your own.

Explore the scenario from the map viewer, how things would look under it.

Download the data, or go back and tweak the scenarios as you like.

If you are an experienced user, you may jump to the Full Model section, to interact directly with the models underneath.

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

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 100 %,with 100 % representing that the state of the node is known with certainty given the state of its parents.