Optimizing an Environmental Surveillance Network with Gaussian Process Entropy

@inproceedings{Truong2013OptimizingAE,
  title={Optimizing an Environmental Surveillance Network with Gaussian Process Entropy},
  author={Viet Xuan Truong and Hiep Xuan Huynh and Minh Ngoc Le and Alexis Drogoul},
  booktitle={KES-AMSTA},
  year={2013}
}
Finding an optimal design for the environmental surveillance network is a realistic need for any ecosystem manager. There are two main factors related to the optimization of a surveillance network: number of sampling points (deciding the sampling density) and locations of such sampling points. This paper aims at proposing an agent-based model to add k measuring devices into a current surveillance network. The simulation is used to verify multiple possibilities of a heterogeneous environment. A… CONTINUE READING
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