Clustering Spatio-functional data: a model based approach

In many environmental sciences, such as, in agronomy, in metereology, in oceanography, data analysis has to take into account both spatial and functional components. In this paper we present a strategy for clustering spatio-functional data. The proposed methodology is based on concepts of spatial statistics theory, such as variogram and covariogram when data are curves. Moreover a summarizing spatiofunctional model for each cluster is obtained. The assessment of the method is carried out with a study on real data.