gBay is a toolbox that links BNs to spatial (raster or vector) data. For each pixel (or polygon), the values in the input data are used as evidence in the network, and inference is performed to obtain the posterior probability distribution of the target nodes. Then, the posterior distributions of the target nodes are written into a new spatial file.

To run your own network with spatial data, see How to use gBay

gBay also supports the use of Dynamic BNs

You can test gBay with your own network, or use the Examples of networks for mapping ecosystem services.