Growth of spatial statistics for agriculture and environment: the example of BioSP at INRAE

This paper illustrates how progress in spatial statistics is fueled by scientific questions arising from applications in agriculture and environment. The unifying theme is the work that has been carried out at BioSP, a statistics and mathematics research unit mainly affiliated to the « Mathematics and Digital Technologies » division at INRAE, the French National Research Institute for Agriculture, Food and Environment.

Starting from the 20 contributions that BioSP members have published in Spatial Statistics since its creation in 2012, almost fifteen years of advances are reviewed, spanning point processes, (multivariate) spatio-temporal Gaussian processes, compositional data, stochastic weather generators and extreme value theory. Attention is given to how these advances have been inspired by problems arising in other research domains. In this context, the Geolearning Chair is an extraordinary opportunity to build a new research program tackling the modeling of extreme events, compound events and other climate-related risks, as well as bias correction methods for climate models and ensemble methods for those.

Find the published paper here (Open Access).