3 papers
stat.AP2026
Spatiotemporal dynamics of wind-speed volatility
Ariane Nidelle Meli Chrisko, Philipp Otto
Wind-speed processes exhibit substantial temporal variability and spatial dependence, yet volatility dynamics across monitoring networks remain relatively unexplored. This study in…
stat.AP2026
Spatiotemporal Autoregressive Models for Areal Compositional Data
Matthias Eckardt, Philipp Otto
Compositional data, such as regional shares of economic sectors or property transactions, are central to understanding structural change in economic systems across space and time.…
stat.AP2025
Spatiotemporal clustering of GHGs emissions in Europe: exploring the role of spatial component
Caterina Morelli, Paolo Maranzano, Philipp Otto
In this study, we propose a novel application of spatiotemporal clustering in the environmental sciences, with a particular focus on regionalised time series of greenhouse gases (G…