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====Bayesian Networks with geo-data==== | ====Bayesian Networks with geo-data==== | ||
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Bayesian networks (BNs) are a powerful tool to represent complex socio-ecological systems, as they can take into account both qualitative and quantitative data, while the associated uncertainties are explicitly shown and propagated through the network. Furthermore, | Bayesian networks (BNs) are a powerful tool to represent complex socio-ecological systems, as they can take into account both qualitative and quantitative data, while the associated uncertainties are explicitly shown and propagated through the network. Furthermore, | ||
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gBay supports dynamic BNs – running the network over multiple time steps, where the output of one time step is an input to the next, which can be used to model feedback loops. Advanced users can also modify spatial data directly in gBay, which allows them to take into account spatial interactions such as neighbourhood effects. | gBay supports dynamic BNs – running the network over multiple time steps, where the output of one time step is an input to the next, which can be used to model feedback loops. Advanced users can also modify spatial data directly in gBay, which allows them to take into account spatial interactions such as neighbourhood effects. | ||
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**Contents: ** | **Contents: ** | ||
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- [[Case studies]] | - [[Case studies]] | ||
+ | {{ :gbay.png? |http:// | ||
+ | [[http:// | ||
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+ | gBay was developed at [[http:// | ||
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+ | When using gBay, please refer to the following publication: | ||
- | gBay was developed at [[http:// | + | Stritih, A., Rabe, S. E., Robaina, O., Grêt-Regamey, A. & Celio, E. 2020. An online platform for spatial |
- | **Contact**: | + | **Contact**: |
start.1558620539.txt.gz · Last modified: 2023/04/21 15:30 (external edit)