4 papers
Borrowing Space, Clustering Temporal Dynamics: Bayesian Regime Mapping and Spatial Prediction for European PM10
Luca Aiello, Lucia Clarotto
Daily particulate matter measurements from European monitoring networks vary both through spatially shared fluctuations and through differences in local temporal dynamics. Characte…
Prediction of spatio-temporal data on meshed surfaces using advection-diffusion SPDEs
Mike Pereira, Lucia Clarotto, Nicolas Desassis
The aim of this work is to propose a statistical model for spatio-temporal data on meshed surfaces based on the Stochastic Partial Differential Equation (SPDE) modeling approach. S…
The SPDE approach for spatio-temporal datasets with advection and diffusion
Lucia Clarotto, Denis Allard, Thomas Romary +1
In the task of predicting spatio-temporal fields in environmental science using statistical methods, introducing statistical models inspired by the physics of the underlying phenom…
A new class of -transformations for the spatial analysis of Compositional Data
Lucia Clarotto, Denis Allard, Alessandra Menafoglio
Georeferenced compositional data are prominent in many scientific fields and in spatial statistics. This work addresses the problem of proposing models and methods to analyze and p…