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09/13/2023
Spatiotemporal modelling of PM_2.5 concentrations in Lombardy (Italy) – A comparative study
This study presents a comparative analysis of three predictive models wi...
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03/08/2023
A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review
Random Forest (RF) is a well-known data-driven algorithm applied in seve...
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12/21/2022
Bayesian Inference for Multivariate Spatial Models with R-INLA
Bayesian methods and software for spatial data analysis are generally no...
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10/19/2022
Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy
The air in the Lombardy region, Italy, is one of the most polluted in Eu...
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01/17/2022
A framework for estimating and visualising excess mortality during the COVID-19 pandemic
COVID-19 related deaths underestimate the pandemic burden on mortality b...
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10/28/2021
A spatio-temporal analysis of NO_2 concentrations during the Italian 2020 COVID-19 lockdown
When a new environmental policy or a specific intervention is taken in o...
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09/22/2020
Spatio-temporal modelling of PM_10 daily concentrations in Italy using the SPDE approach
This paper illustrates the main results of a spatio-temporal interpolati...
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06/16/2020
A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA
In air pollution studies, dispersion models provide estimates of concent...
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12/23/2019
