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Current third-party funded projects
Subproject EM4 Point processes and structural breaks in the LOEWE priority project Nature 4.0 | Sensing Biodiversity (term 2019-2022) with Pavel Tafo
In current statistical methods for deriving occurrence probabilities, spatial prediction is usually performed by Poisson's point processes with log-linear intensity functions in the explanatory variables. The temporal variation is important for monitoring processes, but has been insufficiently considered in these models so far. In particular, temporal breaks cannot be modeled or detected. The analysis of remote sensing data for the derivation of inventory and landscape structures leads to inverse problems, which are currently solved in ad-hoc procedures with Bayesian methods, without choosing the degree of regularization well-founded.