Software and data

ARPALData is an R package (https://cran.r-project.org/web/packages/ARPALData/index.html) which contains functions for retrieving, managing and analysing air quality and weather data from Regione Lombardia open database (<https://www.dati.lombardia.it/>). Data are collected by ARPA Lombardia (Lombardia Environmental Protection Agency), Italy, through its ground monitoring network. See the webpage <https://www.arpalombardia.it/> for further information on ARPA Lombardia's activities and history. Data quality (e.g. missing values, exported values, graphical mapping) has been checked involving members of the ARPA Lombardia's office for air quality control. The package makes available observations since 1989 (for weather) and 1968 (for air quality) and are updated with daily frequency by the regional agency. Full description of the package can be retrieved in the companion paper Maranzano & Algieri (2024), "ARPALData: an R package for retrieving and analyzing air quality and weather data from ARPA Lombardia (Italy)", Environmental and Ecological Statistics, <DOI:10.1007/s10651-024-00599-6>


EEAaq: handle air quality data from the European Environmental Agency data portal

(with Agostino Tassan Mazzocco & Riccardo Borgoni, University of Milano-Bicocca)

EEAaq is an R package (https://cran.r-project.org/web/packages/EEAaq/index.html) which downloads and manages air quality data at the European level from the European Environmental Agency (EEA) dataflows (<https://www.eea.europa.eu/data-and-maps/data/aqereporting-9>). The package allows dynamically mapping the stations, summarising and time aggregating the measurements and building spatial interpolation maps. See the webpage <https://www.eea.europa.eu/en> for further information on EEA's activities and history. 

The Italian Spatio-Temporal Augmented Dataset on Fuels (ISTADFuels)

(with Alessio Chiodin, University of Milano-Bicocca)

ISTADFuels is a dashboard (https://ale-ch.shinyapps.io/it-fuel-dashboard/) which provides monthly data from 2015 to 2024 on fuel sales organized by fuel type, use, and point of sale (highway, municipal road, extra-network road) at the Italian provincial level (NUTS-3). Fuel data are augmented by a set of socio-economic, environmental, and geographical variables able to explain the impact of economic phenomena and topography on fuel sales.