O. Baume

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This study presents a method to optimize the sampling design of environmental monitoring networks in a multi-objective setting. We optimize the permanent network of radiation monitoring stations in the Netherlands and parts of Germany as an example. The optimization method proposed combines minimization of prediction error under routine conditions with(More)
When data from different networks are merged for mapping purpose , biases may appear and lead to unrealistic results. In this paper we define a geostatistical model that generalizes the universal kriging model such that it can handle heterogeneous data. Multiple bias sources can be treated simultaneously through the notion of bias factors. The associated(More)
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