73 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Milano-BicoccaIT7 papers
- Istituto di Matematica Applicata e Tecnologie InformaticheIT2 papers
- Leibniz University HannoverDE2 papers
- University of BergamoIT2 papers
- University of GlasgowGB2 papers
- University of MilanIT2 papers
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agrariaIT1 paper
- Keio UniversityJP1 paper
- L3S Research CenterDE1 paper
- Università Cattolica del Sacro CuoreIT1 paper
- University of BolognaIT1 paper
- University of CagliariIT1 paper
6 papers · 1 filter
Small Area Estimation under Spatial Regimes: Spatially Clustered Fay-Herriot Models for Agricultural Indicators
Paolo Maranzano, Raffaele Mattera, Shonosuke Sugasawa
Area-level small area estimation (SAE) models, such as the Fay--Herriot (FH) model, borrow strength across domains through covariates and random effects, but they can struggle when…
SCARFACE: a harmonized spatio-temporal dataset integrating socio-economic, environmental, and agricultural indicators for the Po Valley (Italy), 2011--2024
Paolo Maranzano, Pietro Colombo, Felicetta Carillo +5
We present "Sequestering CARbon through Forests, AgriCulture, and land usE (SCARFACE)", a harmonized spatio-temporal dataset that integrates climate, air quality, airborne pollutan…
Mapping climate change awareness through spatial hierarchical clustering
Gianpaolo Zammarchi, Paolo Maranzano
Climate change is a critical issue that will be in the political agenda for the next decades. While it is important for this topic to be discussed at higher levels, it is also of p…
Multidimensional spatiotemporal clustering -- An application to environmental sustainability scores in Europe
Caterina Morelli, Simone Boccaletti, Paolo Maranzano +1
The assessment of corporate sustainability performance is extremely relevant in facilitating the transition to a green and low-carbon intensity economy. However, companies located…
Spatio-temporal Event Studies for Air Quality Assessment under Cross-sectional Dependence
Paolo Maranzano, Matteo Maria Pelagatti
Event Studies (ES) are statistical tools that assess whether a particular event of interest has caused changes in the level of one or more relevant time series. We are interested i…
Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy
Alessandro Fassò, Jacopo Rodeschini, Alessandro Fusta Moro +7
The air in the Lombardy region, Italy, is one of the most polluted in Europe because of limited air circulation and high emission levels. There is a large scientific consensus that…