The air in the Lombardy Plain, Italy, is one of the most polluted in Europe due to limited
atmosphere circulation and high emission levels. There is broad scientific consensus that …

We propose a novel model selection algorithm based on a penalized maximum likelihood
estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM). These …

The June 1991 Mt. Pinatubo eruption resulted in a massive increase of sulfate aerosols in
the atmosphere, absorbing radiation and leading to global changes in surface and …

We propose a twofold adjustment for Event Studies considering spatiotemporal data in a
multivariate time series framework where the data are characterized by spatial and temporal …

We formulate a statistical flight-pause model (FPM) for human mobility, represented by a
collection of random objects, called motions, appropriate for mobile phone tracking (MPT) …

Identifying the underlying trajectory pattern in the spatial‐temporal data analysis is a
fundamental but challenging task. In this paper, we study the problem of simultaneously …

Environmental data science is a multi‐disciplinary and mature field of research at the
interface of statistics, machine learning, information technology, climate and environmental …

Advances in compact sensing devices mounted on satellites have facilitated the collection of
large spatio-temporal datasets with coordinates. Since such datasets are often incomplete …